LB 1 J)~''!H

SURVEY OF CONDITIONS REGARDING TRAFFIC PROBLEMS IN METROPLITAN AREA

This thesis was submitted to the department of Civil Engineering of the University of Moratuwa in partial fulfillment of the requirements for the Degree of Master of Engineering in Highways and Traffic Engineering.

Supervised By:

Dr. Amal Kumarage

DEPARTMENT OF CIVIL ENGINEERING UNIVERSITY OF MORATUWA QBi I AKuYA thesis Co\l K LA University of Moratuwa ® " Nf\A

77771 MARCH ~ 2003 7

77771 Comtemts Page

1 .0 Introduction 08

\ 2 .0 Present Situation 10 2.1 Road Network 12 2.2 Land use data 16 2.3 Population 18

3 .0 Methodology 19

4 .0 Data Collection 20 4.1 Traffic volume Survey 4.1.1 Classified counts (C C) 23 4.1.2 Classified Route Bus Counts (C B C) 23 f 4.2 O-D Survey ij 4.2.1 Data collected from Passengers vehicles 24 * 4.2.2 Data collected from Goods vehicles 24 4.2.3 Classified Route bus counts 25

5.0 Traffic Volume Survey 27 5.2 Summary of Traffic Volume data 32 5.2.1.Traffic Volumes on Main Roads 35 5.3 Peak hour traffic 37 5.4 Traffic composition 38 5.5 Traffic volume composition and its effect on road 39 5.6 Average daily traffic 42 5.7 Road capacity analysis 44 5.7.1 Service Flow on Roads 45 5.7.2 Level of Service of Road (L O S) 46 5.8 Passenger inflow to the city 47 5.8.1. Passenger inflow by buses 47 5.9 Origin destination survey 50 T > 5.9.1 Passenger Vehicles 50 5.9.2 Traffic to City Centre 61 5.9.3 Traffic through Kandy 63 5.9.4 All the Traffic Desires in Kandy 65 5.9.5 Places at origins and destinations of passenger vehicles 69 5.9.6 Types of commodity and occupancy of goods vehicles 70

6.0 Identification of Issues and Constraints 71

^ 7.0 Conclusions 74 r r 8.0 Annexures FIGURES PAGE

2.1 Vicinity Map - Kandy 11

2.2 Road network 13

2.3 Kandy city 15

2.4 Kandy city boundary 17

4.1 Survey locations 22

5.1 Daily traffic flow towards Kandy at Lake Round 31

5.2 Kandy city traffic Volume 34

± 5.3 Traffic flow on approach roads toward city centre 36

5.4 O-D Survey at Ampitiya 52

5.5 O-D Survey at Tennekumbura 54

5.6 O-D Survey at Katugastota 56

5.7 O-D Survey at Getambe 58

5.8 O-D Survey at Heeressagala 60

5.9 Traffic to Kandy desires 62

5.10 Traffic through Kandy desires 64 i ' 5.11 Kandy city traffic desires 66

5.12 Traffic from main trunk roads 67

5.13 Places at origins and destinations of passenger vehicles 69 TABLES PAGE

2.1 Details of the main roads in Kandy metropolitan Region 14

2.2 Land use in Kandy Municipal Area for 1995 16

2.3 Population in KMC area 18

4.1 Survey Locations 21

4.2 Details of Survey 25

5.1 Classified vehicle counts on lake round road 28

5.2 Classified Bus count on lake round road 29

5.3 Summary of classified Bus counts (Rout buses) 30

5.4 Summary of Traffic volume data 32

5.5 Peaks and average Traffic volumes 37

5.6 Competition of Daily Traffic to the city 38

5.7 PCU Factors 39

5.8 Vehicle PCU conversion for vehicle types - Lake round 48

5.9 Bus PCU conversion - Lake round 48

5.10 Summary of traffic volume and PCU at all locations 42

5.11 Peak Hour traffic and average daily traffic 43

5.12 Peak hour traffic volume and average daily traffic 43

5.13 Comparison of calculation ADT with RDA data 44

5.14 Service flow capacity on roads 45

5.15 Traffic volume in PCU's 46

5.16 Level of service calculation 46

5.17 Passenger flow calculation (Other vehicles) 47

5.18 Bus capacity data 48 5.18 (A) Bus loading and occupancy factors 48

5.19 Passenger flow calculation of the sample 49

5.20 Passenger flow calculation of the total buses 49

5.21 Summary of passenger inflow 49

5.22 Comparison of traffic volume and origin destination survey data 67

5.23 Origin destination survey data in 1961 & 1998 68

5.24 Summary of origin and destination 69

7.1 Summary of traffic flow in Kandy 74

.k.

-m ABSTRACT

In the city of Kandy traffic problems have made severe impact on people by causing inconvenience and it has affected them socially and economically. In order to find solutions, comprehensive studies have to be carried out to collect data, to analyze them for identification of problems.

The extent of the study area was confined to the study of major traffic entering the city along main and trunk roads from outstations. The main entrances to the city were considered as Tennekumbura, Katugastota, Getambe, Heeressagala Junction and Ampitiya. Surveys of traffic volume and Origin and Destination were carried out to find actual traffic volumes on major roads and traffic desires of the commuters. Evaluation of the present situation of main roads to the city was done based on the findings of the studies on traffic volume and road capacities. Studies were directed to find out Peak Hour Traffic, Composition of Traffic, number of Vehicles and Passengers entering the city per day.

The result of the study reveals that about 40,000 vehicles and 331,000 people enter the city daily. About 50% of the total vehicles entering the city are Car/ Van/ Jeep type. Origin and destination survey data shows that only about 40% of vehicles need to come to the city center and only about 15 - 20% of vehicles need to go through the city for other destinations. Out of the four main roads, situation of the Kandy - Katugastota Road is critical where widening of road or alternative road is urgently required. ACKNOWLEDGEMENT

I thank Dr. Amal Kumarage Senior Lecturer of University of Moratuwa for the guidance and encouragement given to me in carrying out the survey and preparing this report. I am indeed grateful to him for the support given to obtain financial assistance from the University of Moratuwa in order to carryout the surveys. I also acknowledge with thanks the assistance given to me by the Chief Secretary of Central Provincial Council by granting financial and other facilities to follow this course. I also thank Mr. Nimal Mediwaka D.I.G. Kandy and other Police Officers for the assistance given in carrying out the traffic survey. I am grateful to Miss. D.Roshanee Wickramasinghe in my office for type setting the document. 1.0 INTRODUCTION

Traffic congestion is a major problem in . This makes severe impacts on the citizens and commuters causing delay, discomfort and unsafe conditions. Also, it affects the economic growth of the country as congestion prohibits free flow of traffic. On the other hand accidents, which resulted by traffic congestion causes vehicle and property losses and injuries and deaths to the commuters and pedestrians.

In the city of Kandy, the traffic congestion has come to a critical point where urgent solutions are needed. Therefore it was identified that provision of a traffic plan for Kandy is very important at this stage. Even though some remedial measures such as construction of some alternative roads, changes made to traffic flow pattern, provision of traffic signals and improvements to intersections were taken to control traffic congestion in the city of Kandy, problems are still the same.

The solutions needed are unique to the city of Kandy. There are various factors and data, which affect the traffic flow. Their impacts should be analyzed considering one and the others and blending them as a whole. Some of the factors, affecting the traffic flow, are given below,

(a) Land use patterns and changes to it. (b) Population growth. (c) Movement pattern of the people. (d) Proposed future development.

Traffic generation in the city mainly depends on its land use patterns. When land uses are changed traffic patterns and volume of traffic are changed. For example, a part of the city is identified as sacred area where the building of Dalada Maligawa ( Relic) four Devales, the Palace of the last king of Kandy and his Assembly Hall (Magul Maduwa) are situated will not change the land uses forever. Therefore there will not be any traffic pattern changes in that area. Whereas as there will be changes to the present traffic patterns and volume of traffic if the which covers about 18 acres in the city centre is relocated at Pallekelle 9 km away from Kandy according to the set up plans to be implemented by the relevant authority. 8 Healthy weather conditions in and around the city, educational opportunities and scenic beauty in the hilly area are some of the reasons for rapid increase of population.

The following data is needed to be collected in order to solve the traffic problems in the city. * Road network details. * Road capacities * Traffic volumes * Pedestrian counts * Parking details etc.

However in this endeavour, it is required to carryout various studies such as traffic volume, speed, delays, land use patterns, future improvements to the city, parking and geometric improvements of the road net work etc,. But it is not possible for one individual to cover all these areas due to limited financial assistance and non - availability of other recourses. Therefore my aim of this study was to find volumes and desires of traffic, which enter the city from other areas through main approaches of the city and analyse the present condition of main roads to the city centre. On the other hand problems of traffic in the downtown are not considered in this study. For this purpose 1 have carried out traffic volume survey and Origin - Destination Survey.

In this survey, studies had been carried out to find volume of traffic to the city centre from outstations and within the city, origins and destination of outstations traffic, composition of traffic, traffic variation throughout the day, average number of passengers entering daily to the city, place of their origin and destination, present conditions of main roads and their levels of service. Therefore the objectives of studies were o to find volume of traffic to the city from other areas and to the city centre o origin and destinations of out station traffic © composition of traffic and tiaffic variation © average no. of passengers entering daily to the city © to find present condition of traffic on main approach roads to the city .

9 2.0 PRESEMT BSTUATIOM

Kandy is situated in central part of Sri Lanka, a valley with surrounding hills at 1,600 to 2,000 ft, range of mean sea level. It is the second largest city in this country and main town among the three districts Kandy, Matale, and Nuwara- Eliya in the Central Province. Kandy District is bounded north by Matale district, east by Badulla district, south by Nuwara- Eliya district, west by Kurunegala district, (see Fig. 2.1).The following are the main traffic attraction features in the city of Kandy.

(a) Kandy is the main administrative center for the Central Provincial Council and other administrative establishments and they are located in the city. (b) The Dalada Maligawa which is the most important place for Buddhists in Sri Lanka, four Devala and annual Dalada Perahera has given a prominent place to Kandy. This city has been identified and declared as one of the world heritage cities because of its unique and historical value.

(c) Situation of nearly 20 National boys and girls schools and several other Provincial schools, consisting to about 60,000 students and 3,000 teachers , largest university in Sri Lanka, with all the faculties namely Art, Science, Engineering, Medical, Agriculture and Advanced Technical Colleges make the city a major Educational Centre.

(d) Situation of General Hospitals and several Private Hospitals makes large contribution to the city traffic.

(e) Peradeniya Botanical Garden, International Playground at Asgiriya, , Golf course at Digana adds value to Kandy.

(f) Kandy is famous for its traditional Arts and Crafts and exquisite work of art in gold, silver, brass and ivory. The tourism has become highly attracted due to above reasons and excellent scenic beauty in and around the city. There are several numbers of 3 - 5 Star Hotels too located in and around the Kandy city.

10 t--...... • \ • Fig. 2.1 2.1 ROAD NETWORK

The main trunk roads, which connect the Kandy City, are as follows and is shown in Fig. 2.2

Al - Colombo - Kandy Road. A5 - Kandy - Nuwara Eliya Road.(Peradeniya - Chenkaladi Road) A9 - Kandy - Jaffna Road. A10 - Kandy - Kurunegala Road. (Katugastota - Puttalam Road) A26 - Kandy - Mahiyangana Road. New Road - Kandy - Badulla (Via Randenigala) Road.

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Kandy - N'Eliya A5 6.6 Do Good Very limited

Kandy - Jaffna A9 7.8 Do Good Very limited Improvement Kandy - Metalled & is being Kurunegala A10 7.6 tarred done Very limited

Kandy- Asphalt Mahiyangana A26 7.3 — concreting Good Very limited

Kandy - Metalled & Badulla A 7.8 tarred Good Very limited

Table 2.1: Details of the main roads in Kandy Metropolitan Region

The following rail tracks are also linked with the city, o Colombo - Kandy o Kandy - Badulla o Kandy - Matale

Having considered the above inter - connection with other provinces, main cities and other towns, Kandy plays a role of transition center for all directions bound traffic by buses and rails. Also towns around the Kandy such as Gampola, K.-idugannawa, Wattegama, Talatuoya and Hanguranketha influence the Kandy city traffic.

The major road pattern in the downtown consists with straight lines and rectangular coordinates. It is known as gridiron type and has some considerable traffic moving advantages. Also it encourages an even spread of traffic over the grid and as a consequence the impact at a particular location is reduced.

14 Scale 1:12,500 MOm.

Fig. 2.3

15 2.2 LAND U8E DATA

Kandy Municipal Council covers an area of 30 sq km bordering Peradeniya on Colombo - Kandy Rd, Katugastota on Kandy - Jaffna Rd, Talwatta on Kandy - Mahiyangana Rd 2nd km post on Kandy - Ampitiya Rd . Lewella bridge on Kandy Lewella Rd shown in Fig. 2.4

Data of Land use pattern of the Kandy Municipal area is given below (Table 2.2 ). This data is extracted from development plan for Kandy City 1995-2005 by Urban Development Authority.

Nos. Use Extent % of total % of (Hectares) area Developed area

1. Residential 1054 42.0 71.0 2. Commercial 73 2.9 5.0 3. Industrial 12 0.5 0.8 4. Public area 68 2.7 4.6 5. Schools 53 2.1 3.5 6. Religious and Cultural 38 1.5 - 7. Road & Other Circulation 120 4.8 8.1 8. Parks 8s play Grounds 91 3.6 6.1 9. Cemeteries 13 0.5 0.9 10. Vacant Lands 163 6.6 - 11. Paddy Lands 98 3.9 - 12. Forest Reservation 381 15.0 - 13. Water Bodies 346 14.0

Total 2510 100.0 100.0

Source: DEVELOPMENT PLAN FOR KANDY CITY - 1995-2005 By Urban Development Authorities

Table 2.2 : Land use in Kandy Municipal area for 1995

Generally speaking half of the area is used for residential purposes. The land used for industrial areas are at a niinimal level. Hence it indicates that majority of traffic is generated due to residential needs.

16

2.3 POPULATION

Population is a key factor for traffic generation. The information available according to the census taken in 1981 and 2001 is given below;

Population Population density Area Yr1981 Yr 2001 Yr1981 Yr 2001

Kandy Municipal Area 97,872 110,049 3800 / km2 4300 / km2

Kandy District 1,048,317 1,272,463 554 / km2 664 / km2

Table 2.3 Population in KMC area

Since 1981, population of Kandy district has increased from 1,048,317 to 1,272,463 for 20 years. It is 21.4% or 224,146. Whereas population growth in the Kandy Municipal Area is about 12% during the same period. In case of population density it has increased by 19.9% in the Kandy district and 13.2% in Kandy Municipal Area. When population the growth during the past 20 years period is compared the population growth of the Kandy Municipal area is very much less than the population growth in the Kandy district.

Kandy Municipal Council Area belongs to Gangawata Korale divisional secretaries division and it's population in 2001 is 161, 395. A part of 65% of the divisional secretary division population is in Kandy Municipal Area.

18 ICWERS!ii ...uWTUWA.SBlUB5F\ f./lOi^TUWA 3.0 METOHDOLOGY In order to analyse the present situation and find solutions for traffic problems in the city it is required to carry out comprehensive studies on various aspects. Since it is impossible to carryout all required studies in this research, this study is confined to following aspects only. > Study of traffic entering the city from roads of Colombo - Kandy , Kandy - Nuwara Eliya, Kandy - Jaffna, Kandy - Kurunegala, Kandy Mahiyangana, Kandy - Badulla and minor roads of Kandy - Lewella, Haloluwa - Katugastota and Katugatota - Kudaratwatta. > Study of traffic volume and road capacities of the same roads > Study of origins and destinations of the vehicles, which enter the city from its boundary. > Study of volume of traffic at peak hours on the above main roads. > Study of composition of traffic. > Find out average number of passengers coming to city daily.

Therefore in order to carryout above studies, traffic data was collected at selected locations on the main roads in the city and their entrance to the city. Traffic volume surveys and origins - destinations surveys were carried out at all major entrance to the city. In addition that some more traffic volume surveys were carried out on the main roads at selected locations.

It is the fact that all areas of traffic studies are important and co-related each other in finding better solutions. Whereas the researcher had to limit the study area stated above by keeping the following areas aside. > Traffic speed > Traffic delay > Parking > Traffic congestion. > Geometry of roads > Intersections > Pedestrian traffic > Traffic regulations, ordinance, and administration system. 7777!

19 4.0 DATA COLLECTION

In this study traffic volumes, origins and destinations data were collected at the following locations in the city. It was done manually by four persons throughout the day from 6.00 a.m. to 6.00 p.m. during weekdays from 22.10.1998 to 10.11.1998 in such a way that one day at one location was covered. Some survey locations were selected at entry points to the city. Survey locations are shown below. (See map attached Fig. 4.1)

Locations on city entrance Name of the road Class of Rds

1. Tennakumbura Kandy Mahiyangana rd (A) ( near Vidyaloka Vidylaya) 2. Katugastota Kandy Jaffna rd (A ) (Just after the bridge)

3. Getambe Colombo Kandy rd (A) (just after the round about) on Sirimavo Band aranayake Mw

4. Heerasagala junction Colombo Kandy rd (A) on William Gopallawa Mw 5. Nuwara Wela Kandy Axnpitiya rd (B)

6. Lewella Kandy Lewella rd (B) (on the bridge over Mahaweli Ganga)

20 Location on the main Rds within the city Name of the Rd Class 7. near Suisse Hotel Lake round rd. A 8. at Deiyannewela William Gopallawa Mw. A 9. near Wembly theatre Sirimavo Bandaranayake Mw. A 10 near B.M.C. Bdg., Kandy Jaffna rd. A Mahaiyawa 11 between Good shed bus S.W.R.D.Bandaranayake Mw A stand and Peradeniya Rd

Locations on some minor Rds Name of the Rds Class 12. Near Elephant Bath Kuda Ratwatta Rd. C 13. Near first km post Katugastota Gohagoda Peradeniya Rd B

Table 4.1 : Survey Locations

In this survey one way traffic towards Kandy was considered and whole survey period schools were in session.

21 KANDY CITY

V 00 TO (?) - take round n«ar Swiss rtrttl. TO - - WHiSam GopoNowo. Xovwitho, V- "at Stidohumyole- (2) - Pefd*»1lfr« Hood n«nr v Tbeolre. - (2) - Kt«(o Ratwctta Rootf n«r Elephohf 80H1.: - (?) - Kotujostota Oohngodo. • - {&) - 9<*w*an Good »«d 3«s Stand & • PcrQdmif u Rood- - (J) - Ampfttye Rood <* RnjCDitiiUa Tunwff. v' V (5) - TmnoJaimbura n«ar school. (?) - tewtlla. 8rtdoe . (§} - Mobojyovwt ntor B.M. C. SoRdtoo, . ,/ - (3) - Kattqostoto mar Aattwoyi College' V." (tS - v*5cni Gopaltavm *xxj. twor T' Httrwwin"1"1 (3> - PerftdoniTa Rood noar Gtjtltnbt •y Ground - 4.1 TRAFFIC VOLUME SURVEY

4.1.1 CLASSIFIED COUNTS (CC) Traffic towards Kandy was recorded under classified of 12 different types of vehicles at all thirteen locations. Data for every 15 minutes was recorded in classified count data sheet. Thus a summary sheet for a day was prepared from total number of vehicles forl5 minutes under different types. Vehicles were classified as follows: 1 . Bicycles. 2 . Motor Bicycles. 3 . Three wheelers 4 . Car/Van/Jeep (mostly four wheelers used for personal use) 5 . Office van -Van driven by owner or paid driver carrying adults to places of employment for a fee. 6 . School van - Van carrying school children for a fee. 7 . Non-Route buses - Buses (vehicles over 14 seats) with or without passengers, not operating a public bus route. 8 . Delivery Van- Four wheel vehicles designed for carriage of goods. 9 . Trucks (2 axle) - Four wheel or six wheel trucks. 10 . Container & Mullet Axle - Vehicle for carriage of containers and / those with more than two axles. 11 . Tractors - Three axle tractors or two axle hand tractors. 12 . Carts - Manually pushed or animal pulled vehicle of over 0.5m2 floor area.

4.1.2 CLASSIFIED ROUTE BUS COUNT (CBC) Route buses were counted using separate sheet with details of whether it is peoplised bus or private and its seating capacity for every 30 minute period. This survey too was carried out at all the thirteen location through the day. Details of buses recorded are as follows: (a). Peopalized or private (b). Bus size below 20 seats 20-29 seats 30-39 seats over 40 seats

23 4.2 O - D SURVEY

Origin - destination survey was carried out at six locations, entrance to the city for fast moving passenger vehicles and goods vehicles by stopping and questioning. Two different forms were used for passenger vehicles and goods vehicles respectively. As it is not possible to stop and question all motorists sampling procedure was used. In this case no attempt was made to maintain a fixed relationship between the number of drivers interviewed and the total number of vehicles on the road. The data then adjusted after the survey on the basis factor proportionate with total volume of traffic and the number of vehicles interviewed.

4.2.1 DATA COLLECTED PROM PASSENGER VEHICLES

1 . Vehicle type: - Motor bike, Three Wheeler, Car /Van/Jeep, Office Van, School Van, non- route Bus. 2 . Occupancy 3 . Origin and destination on: - Street, Village, AGA Province 4 . Purpose at origin and destination Work, Home, School, Business and Personal

4.2.2 DATA COLLECTED PROM GOODS VEHICLES

1 . Vehicle Type: - Delivery Van, Truck, container Tractor. 2 . Occupancy 3 . Origin & destination on: - Street, village, AGA Division, Province. 4 . Commodity type: flour, other foodstuff, tea / rubber/coconut paddy/ rice, vegetable, other agricultural product, livestock, fish, forestry products, petroleum, chemicals, steel, rubber product, other industrial products, motor vehicles, fertilizers, building materials, personal, empty bottles, empty vehicle of over 0.5m2 floor area. 5 . Load empty, 'A full, % full, overload.

24 4.2.3 CLASSIFIED ROUTE BUSES COUNTS

In additions to the bus count data described in 4.4.1. , data of passengers loading also was as follows : (I). empty (ii) less than 1/2 seat occupied (iii). more than 1/2 seats occupied (iv). full _ no standees (v). full _ comfortably standing, (vi). full _ full capacity standing, (vii). full _ over flow.

4.3 DETAILS OF SURVEY

NO LOCATION DATE DAY TRAFFIC VOLUME o- D SURVEY

Classified Bus Passenger Goods CI. Vehicle count vehicle vehicle Bus count count

Near Suisse 22.10.98 Thu X X - - - 1 Hotel on Lake Round Rd

2 At Suduhumpola 23.10.98 Fri X X - - - on William Gopallawa Mw

3 Near Wembly 26.10.98 Mon X X - - - Theatre on Sirimavo Bandaranayake Mw

4 Near Elephant 27.10.98 Tue X X - - - bath on Kuda Ratwatta Rd

st 5 At 1 mile Post 28.10.98 Wed X X on Katugastota Gohagoda Rd

Contd.

25 Between Good 29.10.98 Thu X X - - - shed Bus stand 8s 6 Peradeniya Rd

7 At Rajapihilla 11.11.98 Wed X X X X X turn off on Ampitiya Rd

8 At Tennakumbura 02.11.98 Mon X X X X X near Vidyaloka Vid.

9 At Lewella 04.11.98 Wed X X X X X bridge

10 At Mahaiyawa 05.11.98 Thu X X X X X near B.M.C. Bdg.

11 At Katugastota 06.11.98 Fri X X X X X near St.Anthony's College

12 At Heerassagala 09.11.98 Mon X X X X X junction on William Gopallawa Mw

13 At Getambe on 10.11.98 Tue X X X X X Sirimavo Bandaranayake Mw

Table 4.2 : Details of survey

26 5.0 TRAFFIC VOLUME SURVEY

Having done the traffic volume survey at all thirteen locations using classified count data sheet for every 15 minutes period during 12 hrs, 48 numbers sheets were collected for a location per day. Each sheet gives total number of different vehicles under types 1-12 and total of all vehicles. A summary sheet for a day at a particular location was prepared for vehicle types 1-12 collected each 15 minutes period. Further, another summary sheet also was prepared for route buses using Bus Count Data collected with data of seating capacities and whether it is peoplised or private.

The summary sheet of vehicle types 1-12 collected near Suisse Hotel on Lake round Rd is illustrated in the attached summary sheet Table 5-1. Another summary sheet of route buses at the same location is given Table 5.2.

The Table 5.1 indicates traffic flow, traffic composition and traffic variation throughout the day at a particular location. It also shows the total of different types of vehicles passed during 12 hour period and total number of all the vehicles for the same period. This summary is relevant to the location on the Lake Round near Suisse Hotel. It shows that total number of vehicle types is 6926 per day. Whereas total of vehicle type 4 itself is 4190 and 60.5% of total and it composites with Cars, Vans and Jeeps. Other significant values are Three Wheelers - 925, Motor bikes - 844, Trucks (Axle) - 480 and School Vans - 288 and their percentage are 13%, 12%, 7% & 4% respectively. Number of Heavy vehicles is very less and even less than 1%.

27 Motor 3 W & C/V/ Sch. Hon Time Cycle bike Taxi J Offlc.van V Rou.bus Deli, van Trucks Conta. rractors Carts Total 6.00 6 4 5 27 0 0 0 0 18 0 0 0 60 2 11 8 33 2 1 1 0 17 0 0 0 75 6.30 4 9 10 60 0 4 3 0 20 0 0 0 110 1 2 17 12 49 3 12 1 0 18 0 0 0 114

7.00 8 17 15 88 0 40 2 0 10 0 0 0 180 3 31 17 115 1 42 1 0 11 0 0 0 221

7.30 2 25 18 121 1 21 1 0 5 0 0 0 194

1 31 13 128 0 9 1 1 7 1 0 0 192 8.00 2 48 23 164 0 1 2 0 15 0 0 0 255 2 31 21 100 0 0 0 3 13 0 0 0 170 8.30 4 28 29 108 0 0 0 1 7 0 0 0 177 0 19 22 92 2 0 0 6 5 0 0 0 146 9.00 0 23 18 80 1 0 0 2 11 0 0 0 135 2 17 26 79 1 0 1 1 5 0 0 0 132 9.30 1 15 16 93 0 0 2 1 10 1 0 0 139

1 18 24 63 1 0 1 0 15 0 0 0 123

10.00 0 16 24 85 0 0 1 1 8 0 0 1 136

0 17 14 69 2 0 0 1 16 0 1 1 121 4- 10.30 0 12 25 68 0 0 0 1 7 0 0 0 113 3 20 25 82 0 0 0 0 5 0 1 0 136

11.00 0 5 26 72 0 0 1 0 11 0 1 0 116

0 18 18 77 1 0 0 1 4 0 0 0 119

11.30 1 22 28 78 0 0 0 0 6 0 0 0 135 2 16 19 75 2 0 0 1 6 1 0 0 122

12.00 0 13 20 84 0 0 0 0 4 1 0 0 122

2 27 29 107 1 2 1 1 4 0 0 0 174 12.30 0 15 26 93 1 0 3 1 2 0 2 2 145

0 12 21 83 1 1 2 0 10 0 0 0 130

13.00 0 15 15 82 1 21 0 0 11 0 0 0 145

0 9 18 79 1 3 0 1 3 0 0 0 114

13.30 1 16 17 94 0 8 0 0 10 1 0 0 147

0 17 27 82 0 1 0 0 3 1 1 0 132

14.00 2 17 23 107 0 24 0 1 6 0 0 0 180

0 12 18 119 0 42 0 • 0 9 0 0 0 200 14.30 0 14 26 99 2 28 0 1 10 0 0 0 180

2 19 13 73 0 21 3 3 9 0 0 0 143

15.00 2 17 24 102 0 4 1 4 10 0 0 0 164

2 12 16 76 0 1 0 0 8 0 0 0 115 15.30 1 9 10 85 1 0 3 0 10 0 0 0 119 2 11 18 109 0 0 0 1 10 1 0 0 152 16.00 0 16 8 114 0 1 0 0 11 0 0 0 150

1 10 21 73 0 0 1 1 18 0 0 0 125 16.30 1 32 29 116 3 0 1 2 17 1 0 0 202 0 30 24 71 3 1 1 0 14 1 0 0 145 17.00 3 18 19 92 0 0 0 0 13 1 1 0 147 1 11 23 83 0 0 1 1 16 0 0 0 136 17.30 1 11 13 85 1 0 3 1 9 0 0 0 124

2 11 11 76 0 0 1 0 13 0 0 0 114 > Total 69 844 925 4190 32 288 39 38 480 10 7 4 6926 % 1.00 12.19 13.36 60.50 0.46 4.16 0.56 0.55 6.93 0.14 0.10 0.06 100.00

Table 5.1 : Classified Vehicle Counts on Lake Round Road

28 5.1 CLASSIFIED BUS COUNTS (ROUTE BUSES) LOCATION :- Lake Round DATE :- 98.10.22 Time PeopUsed Private started 20 22-29 30-39 40 20 20-29 30-39 40 Total 6.00 - 03 02 08 - 24 09 06 52 6.30 - 04 06 06 - 03 46 05 70 7.00 - - 03 10 - - 38 21 72 7.30 - - 11 12 -- 22 25 70 8.00 - - 10 10 - - 19 25 64 8.30 - - 04 01 - - 15 04 24 9.00 -- 09 07 - 02 08 19 45 9.30 - - 07 09 - 01 24 11 52 10.00 - - 02 02 - - 13 08 25 10.30 - - 14 10 - - 25 12 61 11.00 - 01 05 03 - - 24 08 41 11.30 - 01 05 - - - 16 14 36 12.00 - - 08 02 - 02 19 14 45 12.30 - - 03 - - - 15 14 32 13.00 - - 05 02 - - 23 06 36 13.30 - - 02 03 - - 11 15 31 14.00 - - 01 11 - 10 28 14 64 14.30 - - 08 06 - - 10 11 41 15.00 -- 03 07 - - 18 10 38 15.30 -- 10 04 - - 25 09 48 16.00 -- 08 06 - - 12 19 45 16.30 -- 04 11 - - 25 14 54 17.00 - - 02 14 - - 21 08 45 17.30 - - 01 05 -- 06 01 13 0 09 133 149 42 478 293 1104

Table 5.2 : Classified Bus count on Lake Round Road

The data of route buses on Lake Round Rd in Table 5.2 indicate that a total of 1104 Buses ply during a period of 12 hrs, which makes 813 private buses and 291 peoplised buses. Seat capacities of most of those buses are falling in the range of 30 - 39. There are 611 buses in this range including 133 peoplised buses and 478 - private buses and it is 56% of the total.

A summary of classified bus counts (Route buses) at all locations is given in Table 5.3.The total of all vehicle types and buses on Lake Round for 12 hours is 6,926. The summary 1, indicates a total of 12 types of vehicles and summary 2, indicate a total of 29 1,104 of route buses. Hence the full total of all vehicles of all types on Lake Round for 12 hours is 8,030.

No. Location Peoplised Private Total Grand Total < 20 20 - 30 - > 40 < 20 20 - 30 - > 40 Peo. Pri. 29 39 29 39 1 Lake round - 09 133 149 - 42 478 293 291 813 1104

2 William Gopallawa Mw. - 09 14 139 - 108 113 174 162 395 557 3 Katukelle - 18 10 96 06 112 100 35 124 253 377 4 Good Shed Bus stand - 56 71 264 - 223 217 135 391 575 966 5 Mahaiyawa - 53 121 348 03 531 347 216 522 1097 1619

SUBTOTAL 136 340 1036 09 1007 1246 893 1490 3133 4623

6 Tennekumbura - 06 39 97 - 294 95 76 142 465 607 7 Lewella -- 10 03 03 15 08 13 26 39 8 Katugastota - 63 156 279 - 398 277 163 498 838 1336 9 Ampitiya - 06 54 39 01 115 72 19 99 207 306 10 Getambe - 10 55 271 03 251 220 131 336 605 941 11 Heeressagala Junction - 02 02 121 02 109 74 162 125 347 472

SUBTOTAL 87 316 810 06 1170 753 559 559 2488 3701

Table 5.3 : Summary of Classified Bus Counts (Route Buses)

It appears from the graph (Fig 5.1) that there are several peaks, the highest peak in the morning and two others in the evening. When it is considered as an hour morning peak hour is from 7.15 to 8.15 and total volume of traffic is l,004veh/hr. Whereas evening peak hours are 14.00-15.00 and 16.30- 17.30. and volume of traffic 808 and veh/hr

30 822 veh/hr respectively. Daily average traffic volume on lake round comes to 669 veh/hr. This graph shows fairly low traffic from 8.45-13.45 and 14.45-16.25.

Daily Traffic Flow towards Kandy at Lake Round - near Suisse Hotel

350 •

300

Total Hour of the day

(Fig. 5.1 Dally Average Traffic. Volume on Lake ronnd)

The flow variation throughout the day at each of the locations is given in Annexure B.

31 5.2 SUMMARY OP TRAFFIC VOLUME DATA

Traffic volume data was collected at all thirteen locations as it was done on Lake Round Road. The summary of all the data is given in the Table 5.4. It shows the total number of vehicles of types 1-12 and route buses at all locations. In the Table 5.4 the traffic volumes at locations 1 to 5 given the total number of vehicles entering to the city centre. Also it indicates that total number of vehicles entering the city centre per day is 33,262 vehicles including 28,639 vehicles type 1 to 12 and 4,623 buses.

Further, it indicates the total number of vehicles entering the city from main roads at the boundary of the city. Locations No. 6 to 11 of the table shows 22,739 vehicles entering at the boundary of the town including 19,038 vehicles of type 1- 12 and 3,701 route buses.

When traffic volume of each road is considered, it appears that the highest volume is on Kandy - Katugastota Road. It is to be noted that 8,154 vehicles entering at Katugastota increases up to 9,928 at Mahaiyawa.

No Location No of Vehicles For 12 hours Vehicles Bus Total Type 1-12 1 Lake Round 6926 1104 8030 2 William Gop.Rd.near 5913 557 6470 Deiyannewela 3 Katukele near 6253 377 6630 Wembly theatre 4 Good shed Bus Stand 1238 966 2204 Road 5 Mahiyawa near 8309 1619 9928 B.M.C Bdg.

28639 4623 33262

6 Tennekumbura 3178 607 3785 7 Lewella 638 39 677 8 Katugastota 6818 1336 8154 9 Ampitiya 1559 306 1865 10 Getambe 3335 941 4276 11 Heerassagala Junction 3510 472 3982 19038 3701 22739 12 Kuda Ratwatta 789 2 791 13 Gohagoda 1729 122 1851

2318 124 2462

Table 5.4 : Summary of Traffic Volume Data

32 Traffic volume on each road to Kandy for 12 hours is shown as bands on the roads in the map of Kandy City Fig 5.2. The bands thickness on each road is proportionate, to its respective traffic volume. From this map it is clear that there are three main approaches to the city from Peradeniya, Katugastota and Tennekumbura. It can be seen from this map and the Table 5.4, that the volume of traffic entering the city from the city boundaries Tennekumbura, Lewella, Katugastota, Ampitiya Road.Getambe,and Heerassagala Junction , is 22,739 veh. for 12 hours.

33 4 5.2.1 TRAFFIC VOLUMES ON MAIN ROADS

Traffic volumes at several locations on main roads are shown in Fig. 5.3. It shows that there are two figures of traffic volumes on each road one at the entrance to tlie city and the other at close to city centre. The difference between those two volumes indicates that there is a traffic inflow with in the city itself along that particular road.

On Kandy - Jaffna road from Katugastota to Mahaiyawa traffic volume has increased by 1,774 veh. from 8,154 veh. On Kandy - Mahiyangana Road from Tennekumbura to city centre traffic volume has increased from 3785 veh. to 8,030 veh. Traffic increment on William Gopallawa Mawatha, one of the two parallel roads of Colombo - Kandy Road is 2,488 veh. and on the other parallel road, Sirimavo Bandaranayake Mawatha is 4,558 veh. The total volume of traffic entering the city centre from each of the following roads, Lake Round, Mahaiyawa, William Gopallawa Mawatha, Sirimavo Bandaranayake Mawatha, Good Shed Bus Stand Road is 33,262 veh. for 12 hrs.

When the traffic flow towards the city on main roads is concerned, it appears that total traffic entering the city centre is composed of two types:

(i) traffic entering from the city boundary (outstation traffic) (ii) traffic entering within the city limits (city traffic)

Above Fig. 5.2 shows that traffic generation within city limit on Sirimavo Bandaranayake Mawatha is 52% of total on same road and when compared with total traffic generation in the city is 43%. On William Gopallawa Mawatha, traffic generation is 38% and it is 24% of the total u^affic generation in the city.

It has to be noted that even though the Katugastota - Kandy Road has maximum traffic volume, its city traffic generation is about 18% and 17% of total generation of traffic.

35 TRAFFIC FLOWS ON APPROACH ROADS TOWARD CITY CENTRE

® Kandy - Jaffna Rd

& Kandy - Mahiyangana Rd * Traffic Inflow within city

36 5.3 PEAK HOUR TRAPPIC

Daily peak hours and their traffic volumes are given in the Table 5.5.It shows that there are two or three peaks in a day such a way that there are one peak in the morning and two other peaks in the evening. Generally the maximum peak is occurred in the morning during the hours between 7.00 to 8.30 the second highest peaks occur late in the evening 16.00 to 17.45 hrs. And the other peak occurs between 13.00 to 15.00 hours period. When peak volume at Mahaiyawa on Kandy Katugastota Road is compared with average hourly traffic both peaks and average volumes are somewhat closer. Whereas at Getambe on Sirimavo Bandaranayake Mawatha there is a vast difference of those two.

DAILY PEAKS AND AVERAGE HOURLY TRAFFIC (Vem./Hr.)

Location Morning Evening peak hour Peak hour traffic Average Peak / & Class of peak volume (Veh.) hourly Average road Hour 1 2 Morning Even tng Traffic 1 2 (Veh.)

Mahaiyawa 7.30 - 9.00- 10.00 15.30 - 1125 883 907 827 1.36 (A9) 8.30 16.30

Lake round 7.15- 14.00 - 15.00 16.30 - 1004 808 822 669 1.50 (A26) 8.15 17.30

Katugastota 7.30 - 9.30 - 16.15 - 977 787 772 679 1.44 (A9) 8.30 10.30 17.15

Katukelle 7.30 - 14.15 - 15.15 16.45 - 790 622 628 553 1.43 (Al) 8.30 17.45

Willium 7.15- 14.15 - 15.15 16.45 - 742 644 645 539 1.38 Gopallawa (Al) 8.15 17.45

Getambe 7.00 - 11.45-12.45 16.00 - 607 397 409 356 1.70 (Al) 8.00 17.00

Heerassagala 7.00 - 8.45- 13.45 - 598 370 365 332 1.76 (Al) 8.00 9.45 14.45

Tennekumbura 7.00 - - 16.30 - 495 - 344 316 1.57 (A26) 8.00 17.30

Ampitiya 7.00 - 13.45- 14.45 16.00 - 278 193 187 156 1.78 (B) 8.00 17.00

Table 5.5 : Peak and Average Traffic Volume

37 5.4 TRAFFIC COMPOSITION It is important to pay attention on composition of daily traffic to the city centre . As it was mentioned earlier that traffic volume entering to the city centre is 33,260 veh. for 12 hrs. (Table 5.3) considering nearest locations to the city centre. At the same locations the volume of each type of vehicles, their total and percentages are given in the Table 5.6 Percentages of each type of vehicles given in the last column of tlie table indicate that four types of vehicles out of thirteen have percentages more than 10% .

Those are car/van/jeep, buses, three wheelers and motorcycles. Further it is to be noted that 48% of total vehicles are car/van/jeep and numerically it is 16047 out of 33,260 vehicles. Percentages of tractor, containers and carts are veiy much less and it is less than 1%.

Lake WilHum Katukele Goods Mahaiyawa Total % from Round Gopallawa Shed Total

C/V/J 4190 3286 3427 523 4621 16047 48.25% Bus 1104 557 377 966 1619 4623 13.90% 3W& Taxi 925 841 951 363 1177 4257 12.80% Motor 844 730 750 146 996 3466 10.42% Bye Trucks 480 460 341 81 857 2219 6.67% (2) Sen. V 288 362 541 43 290 1524 4.58% Deli. V 38 91 107 32 153 421 1.27% Cycles 69 39 45 33 75 261 0.78% Office V 32 55 40 12 57 196 0.59% NonR 39 29 36 4 52 160 0.48% Bus Tract. 7 5 4 0 26 42 0.13% Cont 10 14 7 1 2 34 0.10% Carts 4 1 2 0 3 10 0.03%

Total 8030 6470 6628 2204 9928 33260

TaMe 5.6 : Compositions of Daily Traffic to the City

38 S.S TRAFFIC VOLUME COMPOSITION AND IT'S EFFCT ON ROAD

Although traffic volume is analysed with regard to different types of vehicles, the fact remains that all types of vehicles are not alike and have different operational characteristic. Therefore even same number of vehicles having different composition of vehicles makes different effects on the road. Therefore passenger car unit (PCU) is introduced in analysis of traffic composition from which suitable weightings are given to each and every type of vehicle by which composition of traffic and road capacity utilization can be estimated- Thus the vehicle types and respective PCU factors are given in Table 5.7.

The equivalent PCU factors used in this calculation are given as follows:

No. VEHICLE TYPE PCU FACTOR 1 . Cycle 0.7 2 . Motor cycle 0.4 3 . 3 wheelers 0.8 4 . Car/Van/Jeep 1.0 5 . Office Vans 1.0 6 . School Van 1.0 7 . Non route bus 1.8 8 . Delivery vehicles 1.0 9 . Truck 2 axle 1.5 10 . Container Multi:axle 6.0 11 . Tractor 3.0 12 . Carts 2.5 13 . Buses (a). Small 1.2 (b) Medium 1.4 (c) Large 1.8

Table 5.7 : PCU factors

(PCU value for Sri Lanka, Kumarage 1992)

For example, volume of vehicles on Lake Round road is converted in to PCU's as follows:

39 VEHICLE NO OF PERCENTAGE PCU PERCENTAGE TYPE VEHICLES OF VEHICLES FACTOR OF PCU.

1 69 1.0 0.7 0.7

2 844 12.1 0.4 4.876

3 925 13.4 0.8 10.688

4 4190 60.5 1.0 60.5

5 32 0.5 1.0 0.46

6 288 4.5 1.0 4.16

7 39 0.6 1.8 1.008

8 38 0.5 1.0 0.55

9 480 6.9 1.5 10.395

10 10 0.1 6.0 0.84

11 7 0.1 3.0 0.3

12 4 0.1 2.5 0.15

6926.00 100.00 94.627

Table 5.8: Vehicle - PCU Conversion for Vehicle Types - Lake Round Rd

Therefore, 6926veh.,on Lake round Rd = 6926 X 0.95 PCU = 6580 PCU BUSES

Peopalised Public Total PCU Total Factor PCU'S Small (20-29 seats) 9 42 51 1.2 61.2 Medium(30-39 133 478 611 1.4 855.4 seats) Large( or 40 seats 149 293 442 1.8 795.6 1104 1712.2

Table 5.9: Bus - PCU Conversion - Lake Round

Thus 1104 buses = 1712 PCU

Since traffic has been carried out for 12 hrs, average daily Traffic in PCU's calculated in the following manner.

Volume of traffic towards Kandy for 12 hrs.

(a). Vehicles type 1-12 = 6926 veh. = 6580 PCU. (b). Route buses = 1104 veh. = 1712 PCU. = 8030 veh. = 8292 PCU.

40 From the survey carried out on Lake round total traffic volumes of vehicle types 1 - 12 and route buses were obtained for 12 hrs. Those volume in vehicles were converted in to PCU's as per table 5-6,5-7 and 5.8. Thus the 6,926 vehicles became 6,580 PCU and 1,104 buses became 1,712 PCU. Also total of all vehicles including route buses of 8,030 vehicles became 8,292 PCU. In the same manner all the traffic volumes at each locations were converted in to PCU and it is given in the table 5-10. It shows that most of locations PCU volume is greater than number of vehicles. But few locations PCU values are almost same or somewhat less.

41 No of Veh. For 12 hours Calculated Total in No Location (1) (2) (3) PCU factors Veh Bus PCU for Veh. Bus Total (4) (5) (6) (7) (8) Type Veh. Bus 1X4 2X5 6+7 1-12

1 Lake Round 6926 1104 8030 0.95 1.55 6579.7 1711.2 8292

2 5913 557 6470 0.95 1.58 5617.35 880.06 6497 William Gopallawa Rd, Deiyannewela 3 Katukelle near Wembly 6253 377 6630 0.94 1.64 5877.82 618.28 6496 Theatre

4 Good shed bus 1238 966 2204 0.9 1.5 1114.2 1449 2563 stand Rd

5 Mahiyawa near B.M.C 8309 1619 9928 0.96 1.46 7976.64 2363.74 10340 33262 34188

6 Tennekumbura 3178 607 3785 0.99 1.41 3146.22 855.87 4002 7 Lewella 638 39 677 0.87 1.4 555.06 54.6 610 8 Katugastota 6818 1336 8154 0.96 1.46 6545.28 1950.56 8496 9 Ampitiya 1559 306 1865 0.92 1.4 1434.28 428.4 1863 10 Getambe 3335 941 4276 0.96 1.51 3201.6 1420.91 4623 11 Heeresagala Junction 3510 472 3982 1.02 1.59 3580.2 750.48 4331 22739 23925

12 Kuda Ratwatte 789 2 791 0.97 1.6 765.33 3.2 769

13 Gohagoda 1729 122 1851 1.07 1.3 1850.03 158.6 2009

Table 5.10 : Summary of Traffic Volume and PCU at all Locations

5.6 AVERAGE DAILY TRAFFIC

Average daily traffic volume can be derived from the data collected from the survey as

following methods.

(a.) From 12 hrs. traffic volume multiplying by 1.25

(b.) From peak hour traffic volume multiplying by 10

42 ADT No. Location 12 hour Traffic (12 Hour Volume X 1.23) Veh. PCUs Veh. PCUs

1 Lake Round 8030 8292 10038 10365 2 WilliamGop. Deiyannewela 6470 6497 8008 8121 3 Katukele nearWembly theatre 6630 6496 8288 8120 4 Good shed bus stand road 2204 2563 2755 3204 5 Mahiyawa near B.M.C 9928 10340 12410 12925 33262 34188 41499 42735 6 Tennekumbura 3785 4002 4731 5003 7 Lewella 677 610 846 763 8 Katugastota 8154 8496 10193 10620 9 Ampitiya 1865 1863 2331 2329 10 Getambe 4276 4623 5345 5779 11 Heerassagala Junction 3982 4331 4978 5414 18757 19S94 23446 24494 12 Kuda Ratwatte 791 769 989 961 13 Gohagoda 1851 2009 2314 2511 2642 2778 3303 3472

Table 5.11 : Peak Hour Traffic and Average Daily Traffic

Location Peak Hour Bus Other Veh. Total Av. Daily Tr. Total (Veh) (Veh) (Veh) Lake Round 7.15 - 8.15 142 862 1004 10040 Williuam Gop. 7.15 - 8.15 58 684 742 7420 Katukelle 7.30 - 8.30 33 757 790 7900 Mahaiyawa 7.30 - 8.30 186 939 1125 11250 Goods shed 12.45 - 13.45 86 153 239 2390 39000 Tennekumbura 7.00 - 8.00 74 421 495 4950 Ampitiya 7.00 - 8.00 48 230 278 2780 Getambe 7.00 - 8.00 122 485 607 6070 Lewella 7.15 - 8.15 10 132 142 1420 Heeressagala 7.15 - 8.15 61 522 583 5830 Katugastota 7.30 - 8.30 146 831 977 9770 30820 Kuda Ratwatte 12.45 - 13.45 0 91 91 910 Gohagoda 7.00 - 8.00 20 182 202 2020

2930

• Table 5.12: Peak Hour Traffic Volume and average daily traffic

43 Traffic flow on each road can be obtained from the measurement of Average Daily Traffic Volume given in Table 5.11 and 5.12 ADT calculated from both methods which give approximate figures differing 1% to 5% between them. Further it shows that total traffic towards city centre is either 41,579 veh./day or 39,000 veh./day depending on the method adopted. The two methods adopted in this calculation can be justified by comparison of some data collected at same locations by Road Development Authority in year 1999. The details are given below:

Traffic Vol. one ADT both Data collected way for 12 hrs ways by RDA in year No. Locations (Veh.) [1] [ 1 ]X2X 1999 1.25

1. Lake Round 8030 20075 19368

2. Tennekumbura 3785 9462 9720

3. Katugastota 8154 20385 20540

Table 5.13 Comparison of calculated ADT with RDA data (Data taken from Traffic and Planning Division, RDA)

5.7 ROAD CAPACITY ANALYSIS

The capacity of Highway is defined as the maximum number of passenger cars that can pass a point on a lane during one hour under most ideal conditions. According to the Highway Capacity Manual of the Transportation Research Board USA, the capacity for two-lane highway is given as 2,800 equivalent passenger cars per hour. The service flow rate (SF) for any given road will be given in the following equation.

SF = C = 2800 x Fa x Fw Where C = Total service flow rate In both directions. Fd = Capacity reduction factor for Directional distributions of traffic

Fw = Capacity reduction for narrow lanes & restricted Shoulder widths

44 Specimen calculation of service flow on Lake, round is given in the Annexure C accordingly

C = 2527 PCU / Hr for 2 lane

Table 5.14 shows service flow calculated at the locations where traffic volume survey was carried out. In this regard directional distribution of traffic on road was derived from the proportion of peak hour traffic volume to average hourly traffic volume of the same road. Further the same proportions of traffic volume were considered in calculation of both way traffic volumes at peak hours.

(Calculations are shown in Annexure C)

5.7.1 SERVICE FLOW ON ROADS

Road Shoulder Parallel Directional Calculated road width width parking distribution capacity 2800 xf xf (M) (M) on side C = w d one / PCU/hr. both / none Locations

Lake round 2800 x 0.96 x 0.94 = 9.8 1.4 One 60 / 40 2527 Tennekumbura 2800x0.89x0.94 = 9.2 1.4 One 60 / 40 2342 William Gop. 2800 x 0.90 x 0.96 = 7.1 1.2 One 58 / 42 2419 Heerassagala 2800 x 0.90 x 0.92 = 7.1 1.4 One 64 / 36 2318 Katukelle 2800 x 0.92 x 0.95 = 10.2 1.2 One 59 / 41 2447 Getambe 2800 x 0.88 x 0.92 = 10.2 1.0 One 64 / 36 2266 Mahaiyawa 2800 x 0.89 x 0.96 = 9.2 1.4 One 58 / 42 2392 Katugastota 2800 x 0.89 x 0.95 = 9.2 1.4 One 59 / 41 2367 Ampitiya 2800 x 0.49 x 0.92 = 5.5 1.6 None 64 / 36 1262

Table 5.14 : Service flow Capacity on Roads

Peak hour traffic volume at each location is converted in to PCU's as shown in the Table 5.15 below.

45 (Calculation of peak hour traffic volume in both ways is shown in Table of Annexure C.)

Total Peak Calculated Location Calculated PCU factors Peak hour volume hour volume Peak hour for towards Kandy PCU's In volume In Year 1998 both Vehicle Bus Vehicle Bus (One way) directions type 1 -12 type 1-12 (Both way) Lake Round 0.95 1.55 862 142 1039 1725 Tennekumbura 0.99 1.41 421 74 521 854 William Gop. 0.95 1.58 684 58 741 1282 Heerassagala 0.95 1.58 527 56 579 915 Katukelle 0.94 1.64 757 33 765 1300 Getambe 0.96 1.51 485 122 650 1034 Mahaiyawa 0.96 1.46 939 186 1173 2041 Katugastota 0.96 1.46 831 146 1011 1276 Ampitiya 0.92 1.40 230 48 279 435

Table 5.15 : Traffic Volume in PCU's

5.7.2 LEVEL OF SERVICE OF ROAD ( LOS )

The level of service of a road denotes the level of facility available to it's users under different traffic flow conditions.

Road Peak hour traffic Location capacity in volume both way V / c Level of service PCU from PCU Table S.14 C) Yr1998 Yr 2002 Yr Yr Yr Yr (V) (V) 1998 2002 1998 2002 Lake Round 2527 1725 2018 0.68 0.80 E E Tennekumbura 2342 854 999 0.36 0.42 C C William Gop. 2419 1282 1500 0.53 0.62 D D Heerassagala 2318 915 1070 0.39 0.46 C D Katukelle 2447 1300 1522 0.53 0.62 D D Getambe 2266 1034 1210 0.46 0.53 D D Mahaiyawa 2392 2041 2388 0.85 0.99 E E Katugastota 2367 1719 2011 0.73 0.85 E E

Ampitiya 1262 435 508 0.34 0.40 C C

Table 5.16: Level of Service Calculation

46 5.8 PASSENGER INFLOW TO THE CITY

It was revealed that traffic entering the city centre is 33,262 veh/ 12 hrs (Table 5-4). The composition of the same traffic was given in Table 5.6. Therefore the number of passengers entering the city centre can be found using the occupation factor of respective vehicle. It will be illustrated in Table-5.17 excluding buses.

Total of all five Occupancy factor Total passenger Veh. type locations. C/V/J 16047 2.46 39476 3 Wheeler 4257 1.1 4683 M.Bicy. 3466 1.25 4333 Truck (2 axle) 2219 2.0 4438 Sch.V. 1524 14.0 21336 Deli.V 421 2.0 842 Cycles 261 1.0 261 Offi.V 196 5.0 980 Non R.Bus 160 28.0 4480 Tractor 42 1.0 42 Con. 34 2.0 68 Cart 10 1.0 10

Total 28637 80949

Table 5.17: Passenger flow calculation (Other Vehicles) (Occupancy factors were taken from a report of Dr. Amal Kumar age)

5.8.1 PASSENGER INFLOW BY BUSES

Data of passenger loadings under different size of buses collected from the survey was recorded and given in Table 5.18 and it is a sample of sizing 775 buses. Occupancy factors relevant to different size of buses and their passenger loading conditions were obtained from a report of Dr. Amal Kumarage (Table 5.18(A))

Thus the numbers of passengers transported by 775 buses were calculated in the Table 5.19. Further total passenger inflow to the city was calculated and it is shown in Table 5.20.

47 Bus size Passenger loading Total

Seats Empty < y2 > ya Pull no Comfortably Capacity Overflow standee - standing standing Capacity <20 3 3 2 0 0 1 0 9 20-29 12 35 41 62 19 19 21 209 30-39 12 29 54 106 45 41 40 327 Over 40 5 12 23 65 51 54 20 230 Total 33 80 121 233 115 115 81 775

Table : 5.18 Bus Capacity Data

Occupancy factors Passenger Loading Relevant to bus size < 20 20 - 29 30 - 39 Over 40 Empty 2 4 5 6 < Va 3 7 12 13

> y2 8 18 24 31 Pull no standees 15 27 32 46 Comfortably standing 18 32 38 48 Capacity standing 31 39 56 69 Overflow capacity 37 58 67 101

Table: 5.18 (A) Bus loading and Occupancy Factors (From a report of Dr. Amal Kumar age)

Depending on passenger loadings and relevant occupancy factors available, average number of passengers transported to the city by 775 buses were calculated and the result is given below:

48 Bus No. of passengers

size Empty < y2 > y2 Pull no Comfortably Capacity Overflow Total - standing standing Capacity standee <20 6 9 16 0 0 31 0 62 20-29 48 245 738 1674 608 741 1218 5272 30-39 60 348 1296 3392 1710 2296 2680 11782 Over 40 30 156 713 2990 2448 3726 2020 12083 Total 144 758 2763 8056 4766 6794 5918 29199

Table: 5.19 Passenger Flow Calculation of the sample

The above Table shows that 29,199 passengers had been transported by 775 buses. Using the same results occupancy factors of respective bus sizes were calculated and subsequently total passengers to the city was found as shown in Table 5.20.

Data of the sample Bus size No. of No. of Occupancy Total Total buses passengers Factor Buses passengers <20 9 62 6.9 9 62 20-29 209 5272 25.2 1161 29280 30-39 327 11782 36.0 1604 57744 Over 40 230 12083 52.5 1849 97127 Total 775 29199 4623 184213 120.65

Table: 5.20 Passenger flow calculation of the total buses

Veh. No. of Veh. (12 Passengers (12 Hrs.) Passengers per day Hrs.)

Vehicle type 1-12 28637 80949 101186

Bus 4623 184213 230266

Total 33260 265162 331452

Table 5.21 : Summary of Passenger Inflow

49 Table 5.21 shows 33,260 vehicles are carrying 265,162 passengers to the city centre for 12 hrs.Therefore when it is considered for a day total passengers would be 331,452.Since through traffic is included in the total figure necessary deduction should be made to find the actual figure.

5.9 ORIGIN - DESTINATION SURVEY

The first stage in the analysis of O.D. Survey was Clarification of the data under each type of vehicles and respective zone of origin and destination. Each zone has a code number. The next step was production of expansion factors in each type of vehicles for the period of survey. For instance if 50 numbers of motor bicycles are interviewed during 12 hours period out of 160 total bicycles, then the expansion factor is 160/50 .The basic results of an O.D. Survey are usually expressed in the form of desire line graphs. Desire line charts are usually drawn to represent numbers of trips between zones, the greater the band thickness the greater being the number of trips.

From the O-D Survey carried out at the six entrances to the city of Kandy - Ampitiya Rd and Lewella Rd,Tennekumbura, Katugastota, Getambe and Heeressagala it reveals the volume of traffic desires towards various zones. Having used two forms in collecting data for passenger vehicles and goods vehicles two different data sheets and summary sheets are prepared. Passenger vehicles includes only motor bicycle, 3 wheeler, car / van / jeep, van & non-route bus. Whereas goods vehicles includes delivery van, truck, container and tractor. Taking number of vehicles observed as factor of total vehicles passed that location, projection is done for total volume of vehicles. Further the data is doubled considering the fact that vehicle may pass the same location in the return journey.

5.9.1 PA83ENGER VEHICLES

From the Data collected at each & every location matrices had been prepared from origin zones to destination zones, considering the number of vehicles passed toward various zones. Data is illustrated in a map indicating bands to respective zones and providing band thickness according to volume of traffic.

50 AMPITIYA JUNCTION

4 Data of O-D survey is illustrated in a Map. (Fig. 5.4) and it shows that main traffic flow through that location to the city centre and to Ampitiya as follows:

Town - 1109 42%

Ampitiya - 975 37%

To Peradeniya - 87

To Katugastota - 175 21% - through traffic

To Tennekumbura - 301

2626

51

TENNEKUMBURA

According to the fig 5.5 it shows that the main traffic flow is 2,030 veh. to Kandy, and it is 33% from Kundasale road 1,863 veh. & 31%.

Town - 2030 33%

Kundasale-Digana Rd, - 1863 31%

Hanguranketha Rd, - 1032 17%

To Peradeniya Rd - 694 "] 19% - through traffic

To Katugastota - 451

6070

53

KATUGASTOTA From the Fig 5.6 it shows that the main flow to the city, 4,091 veh, and it is 40%. It is •4- important that traffic origination at Katugastota itself is 2,448 veh. and it is 23%.

City 4091 38%

Katugastota 2448 23%

Matale 1667 15%

Madawala 1045 10%

Kurunegala 402 04%

To Peradeniya 923 Through traffic 11%

To Tennekumbura 216

10792

55

GETAMBE

Main traffic flow through Getambe to Kandy is 2,067 veh. and 40%. Other significant flow is from Colombo Road & it is 1,457 veh. (28%) (Fig.5.7 ).

City - 2067 40%

Colombo Rd - 1457 28%

Gampola Rd, - 828 14%

To Katugastota - 610 1

To Tennekumbura - 358 J Through traffic 18%

5318

4

57 4 H EE RE 8S AG ALA

Traffic through Heeressagala Junction on Williain Gopallawa Mawatha, is illustrated in Fig 5.8 indicating significant flow towards the city and from Colombo Road, 2,415 veh. and 2,052 veh. respectively . Their percentages are 39% and 33%.

City - 2415 39%

Colombo Road - 2052 33%

GampolaRoad - 828 13%

To Tennekumbura & Ampitiya - 620 "1

To Katugastota - 295 J Through traffic 15%

7038

59

5.9.2 TRAFFIC TO CITY CENTRE

Traffic towards City Centre is illustrated separately in Fig 5.9 and it gives the volume of traffic to the centre from four boundaries of the city, Peradeniya, Katugastota, Tennekumbura, and Ampitiya. The highest flow is 4,482 veh. from Peradeniya to Kandy.

But the flow from Katugastota to Kandy also is very significant and it is 4,091veh.In comparison traffic flow from Tennekumbura is less than 50% of these from Peradeniya and Katugastota and traffic from Ampitiya to the city is further less. It is to be noted fhateven though traffic flow from Katugastota and Peradeniya to Kandy is very heavy and fairly same there are two main roads from Peradeniya to Kandy there is only but one road from Katugastota to Kandy.

61

5.9.3 TRAFFIC THROUGH KANDY

When it is compared with through traffic among main entrances to the city from Fig 5.10 it shows the highest volume is between Peradeniya and Katugastota, and it is 1,828 veh.. The second highest volume is between Peradeniya and Tennekumbura and it is 1,345. Through traffic volumes between Katugastota and Tennekumbura, Ampitiya and Peradeniya, Katugastota and Ampitiya are fairly less.

63 64 5.9.4 ALL THE TRAFFIC DE8IRE8 IN KANDY

All the traffic desires as per data obtained from the survey is illustrated in the Fig 5.11.It shows that the maximum flow is from Katugastota to Kandy. Even though the traffic flow from Peradeniya to Kandy is very high, it does not indicate as those traffic are distributed on two roads namely Sirimavo Bandaranayake Mawatha and William Gopallawa Mawatha. Other Significant flow is from Colombo Road, to Peradeniya. When traffic inflow from main trunk roads are considered, the highest volume of traffic is from Colombo Road. Further, there are significant traffic inflows to the city from Kundasale Road, Matale Road and Gampola Road. Those traffic volumes are illustrated in the Fig 5.12.

65

Trafic from Main Trunk Roads To Kandy

Colombo 3509

Kundasale

Matale

Gampola S^ggpS^gS^^^^p 1592 From Madawala 1045

Hanguranketha 1032

Ampitiya Sllllj 357

Kurunegala 4 32

0 500 1000 1500 2000 2500 3000 3500 4000 No. of vehicles for 12 hrs.

Figure 5.12 : Traffic From Main Trunk Roads

Traffic Volume Origin - Destination Survey in both Survey in one Direction direction

Veh - Bus Total Veh -Type To Through Traffic Type 2-11 both Kandy Traffic from 1-12 direction outstation

Ampitiya 1559 306 1865 2626 42% 21% 36%

Tennekumbura 3178 607 3785 6070 33% 19% 48%

Katugastota 6818 1336 8154 10792 38% 11% 29%

Getambe 3335 941 4276 5236 40% 18% 42%

Heeressagala 3510 472 3982 6210 39% 15% 46%

Table - 5.22 : Comparison of Traffic Volume and Origin Destination Survey Data

67 Table 5-22 indicates both the data of traffic volume and origin - destination survey. It reveals that each entrance to the city has 40% of average traffic to Kandy and 17% of average of through traffic. For traffic volume survey, 12 types of vehicles have been taken into consideration. Whereas for origin destination survey it has considered only 9 types of vehicles from 2 to 11. However those types of vehicles from 2 to 7 comprises 90% out of the total 12 types of vehicles excluding route buses.

Each location where O-D survey was carried out shows that approximately 40% traffic from outstations crosses the location. Also approximately 40% of traffic directly enter the city centre, and 20% is through traffic.

Location Yr 1961 In both Yr 1998 in one direction directions

Vehicles % Vehicles % Tennekumbura 1472 13.8 3785 17.1 Katugastota 4040 40.2 8154 37.0 Peradeniya 4278 37.9 8258 37.4 Ampitiya 861 8.1 1865 8.5

Total 10651 100.0 22062 100.0

Table 5.23 : Origin Destination Survey data in 1961 and 1998

Origin - Destination data in 1961 is an extract from the report on Urban Studies by Ceylon Ministry of Transport and Works. It appears that total volume of traffic at all four locations have increased four times during the 37 years period. Also it proves that annual average increment of vehicle population is 4%. looking at the Table 5.23 the percentages of volume of vehicles at each location to total volume of all locations in 1961 and 1998 are approximately the same. But at Tennekumbura vehicle percentage in 1998 is somewhat higher than in 1961. This indicates that traffic from all entrance to the city has increased uniformly except Tennekumbura.

68 5.9.5 PLACES AT ORIGINS AND DESTINATIONS OF PASSENGER VEHICLES

The places at origins and destinations of the passenger vehicles are recorded with the other data collected from the O -D Survey carried out for passenger vehicles. Those places were categorized under Home, Work, School, Business and Personal. The summary of the result is shown in the Fig 5.13

It indicates that most of the origins and destinations of vehicles are Homes and Work. There is significant number of schools but number of business places is very less.

Place Origin Destination Total Percentage Home 267 300 567 31.5 Work 309 167 476 26.4 School 163 58 221 12.3 Business 76 82 158 8.8 Personal 84 292 376 21.0 Total 899 899 1798 100.0

Table 5.24: Summary of origins and destinations

600 H Origin

500 § Destination

• Total

400

300

200

100

Personal Home Work School Business Fig. 5.13 Places at Origin and Destination of Passenger Vehicles

69 5.9.6. TYPE OF COMMODITY AND OCCUPANCY OF GOODS VEHICLES

Data recorded for goods vehicles is given in Armexure F. Under the goods vehicles, four types of vehicles, delivery van, truck, container and tractor are considered. Among these types of vehicles there were significant number of delivery vans and trucks. But the number of containers and tractors were very less. The result shows that many of delivery vans and trucks have occupancy of 2 or 3. Also, most of delivery vans transported foodstuff and other industrial products and most of trucks transported building materials, foodstuff, other industrial products and vegetables.

70 IDENTIFICATION OF ISSUES AND CONSTRAINTS

Traffic volume survey reveals that the volume of traffic entering from outstation to city border is 22,739 veh.per 12 hrs. Further it increases to 33,262 veh., when vehicles reach the city center. Thus it shows that traffic generation within city limits is 10,523 veh.

(a) In view of fraffic volume on main approaches to the city the highest volume of traffic is on Kandy- Katugastota road. (b) The three main entrances to the city and their respective traffic volume per 12 hrs are as follows: Peradeniya 8,258 veh. Katugastota 8,154 veh. Tennekumbura 3,785 veh.

Traffic generation within the city limits, particularly where trunk roads are concerned, the Sirimavo Bandaranayake Mawatha has maximum generated volume within the city. It is 52% of the total volume. But Katugastota road has a lower traffic generation and it is 18% of the total.

It seems that peak hour of traffic volume in the city is during the period from 7.00 a.m to 8.30 p.m. On Kandy - Katugastota Rd and William Gopallawa Mawatha, tlie difference between peak hour traffic and average hourly traffic is very low compared to other roads. Where as on Ampitiya Road and Sirimavo Bandaranayake Mawatha, there is a significant difference of those volumes.

Where composition of traffic is concerned most of vehicles fall into type 4 i.e. car/van/jeep. Percentage of car / van / jeep type 4 vehicles on major roads to Kandy varies from 50% to 60%. It appears that 48% of total traffic to the city too is of vehicle type 4 (Table 5.6). Route buses too contribute 14% to the total traffic and heavy vehicles are very less.

71 6. (a) Average daily baffle to the city is calculated as 41,529 veh., or 39,000 veh., by means of two different methods. This shows that nearly 40,000 vehicles are entering the city centre daily. (Table 5.12)

(b) Volume of traffic entering the city boundary is nearly 29,500 veh/ day.

According to analysis of road capacities the following results were obtained.

Road LOS

Kandy Katugastota Road L Lake Round Road E

William Gopallawa Mawatha S.W.R.D. Bandaranayake Mawatha J D

At Tennekumbura Ampitiya Road J C

This indicates that Kandy Katugastota Road and Lake Round road have come to saturation position of traffic.

Passengers inflow for 12 hrs per day in the city is nearly 265,000 people. Out of which 169,000 people have used 4,623 buses. The rest of 81,000 people have traveled by 28,637 vehicle types 1-12.

(a) From O-D Survey, generally it appears at each location there is 40% of total traffic traveling towards city center and another 40% travels to outstations. Further it shows the rest of 20% is through traffic.

72 (b) Traffic to the city centre from Katugastota, Peradeniya and Tennakumbura is 4,091, 4,482 and 2,030 respectively. This shows that traffic from Tennakumbura is much less than other two ends.

(c) The highest inflows of outstation traffic are from Colombo Road to Peradeniya and traffic to Tennekumbura from Kundasale Road is high.

10. The O-D Survey reveals that most of the people's origins and destinations are homes, work places and place of personal business.

11. In comparison of traffic data in 1961 & 1998 it is found that annual average increment of vehicle population is 4%. Further it indicates the volume of traffic entering tlie city from Tennakumbura end it is much more than before.

73 7.0 CONCLUSIONS

7.1 The calculated daily traffic towards Kandy is 41,579 veh./day entering the city center with 29,413 veh./day leaving the city boundary. It shows that 12,165 veh./day is added from the internal roads of the city itself. When it is compared with total traffic in the centre per day addition of traffic from internal road is 29%.

7.2 Considering vehicle composition of the traffic entering the city centre, the majority type of vehicles is car/van/jeep at 48%. Also buses, three- wheelers, motorcycles and trucks contributes 14%, 13%, 10%, and 7% respectively.

7.3 The calculated number of passengers per day is about 331,000. It is significant that 69% of the total passengers coming to the city travel by buses which consists of 14% of the total traffic space. Whereas 31% of the other passengers coming by other passenger vehicles consists of 86% of the total traffic space. However the average daily passenger flow would be around 300,000 considering the through traffic.

% of total No. of % of total No. of Description veh. passenger passengers passenger Per 12 hrs. traveling per day Buses 14% 184213 69% 230266 Other passenger vehicles 86% 80949 31% 101186

265162 331452 Total

Table 7.1 : Summary of Traffic Flow in Kandy

74 7.4 In considering uaffic variation throughout the day it can be seen that there are several peaks. Generally three peaks can be identified during the day, out of which one in the morning and it is the highest at all the locations. (Table 5.5)

7.S Where the traffic composition is concerned, the highest percentage of vehicles type is car/van/jeep in daily traffic at almost all the locations. Even in the case of peak hour traffic composition, the highest percentage is the same type whereas it appears that C/V/J percentages slightly decrease at peak hours. Also, it shows that percentages of motor bicycles and school vans at peak hours are higher than the daily average.

7.6 It is noted that Kandy - Katugastota Road has the highest volume of traffic, contributing for heavy traffic congestion on that road. In this context the issues that could be discussed are: (i) road widening from 9.2m to 14.0 m to provide 4 lane traffic.

(ii) improvement of by pass roads of Wattarantenna,Mapanawathura, Asgiriya etc., to divert some traffic.

7.7 Sirimavo Bandaranayake Mawatha has very high traffic inflow within the city limits. Therefore it is better if through traffic can be directed along William Gopallawa Mawatha.

Passengers who travel by buses are about 230,266 and make 69%. Therefore if buses are given priority more passengers will be benefited. Thus some of those who are traveling by other types of vehicles also can be transferred to buses. This may help to reduce the 86% of total volume of road space occupied by other vehicle types.

75 REFERENCE

1 Buluankulame, S.W.P., Preparation of a Greater Kandy Plan for 2554 BE or 2010 CE, The Kandy world Heritage city committee May 1999.

2. Ceylon Ministry of Transport & Works, Report on Urban Studies: Ministry 1961.

3. Chandrasena & Partners, Report on Alternative road from Getambe to Kandy, Department of Highways December 1980.

4. Kandy : Urban Development Authority, Development Plan for 1995 - 2005, Heritage City Kandy, UDA.

5. Senawiratne Anuradha, Kandy. &NNEXURES

Summary sheets of traffic volume survey at each location.

Traffic volume variations at each location.

Road capacity analysis.

Road side interview questionnaire forms

O - D Survey data at each location.

Type of commodity and occupancy of goods vehicles.

Details of Kandy schools ANNEXURE A

AMPrriYA

3 W & Motor Trucks Non R Ofllce Route Time C/V7J Taxi Bike Sch. V (2) Cycles Dell. V Bus Van Tract. Cont Carts bus Total + 6 1 0 0 3 0 2 0 1 0 0 0 5 18 6.30 * 0 2 1 0 0 0 2 0 0 0 0 0 5 10 * 4 3 4 1 1 1 2 0 0 0 0 0 8 24 7.00 * 19 6 7 4 4 0 0 0 0 0 0 0 8 48 * 22 3 11 11 8 1 0 0 0 0 0 0 11 67 7.30 * 14 5 6 4 4 0 3 0 0 0 0 0 11 47 * 35 8 17 0 5 1 0 0 0 0 0 0 13 79 8.00 * 36 9 20 1 3 3 0 0 0 0 0 0 13 85 * 27 0 4 0 11 0 0 0 0 0 0 0 5 47 8.30 * 20 4 2 0 6 2 1 0 0 0 0 0 5 40 * 24 7 4 0 7 4 0 0 0 0 0 0 7 53 9.00 * 19 1 2 0 2 0 3 0 0 1 0 0 7 35 * 19 6 6 0 6 0 1 0 0 1 0 0 9 48 9.30 * 14 4 6 0 0 0 4 0 0 0 0 0 9 37 * 13 6 6 0 5 0 1 0 0 0 0 0 6 37 10.00 * 6 3 3 0 1 0 0 0 0 0 0 0 7 20 * 20 4 6 0 4 0 0 0 0 0 0 0 8 42 10.30 * 13 5 0 0 5 0 0 0 0 0 0 0 9 32 * 10 5 5 0 3 0 1 0 0 0 0 0 6 30 11.00 * 18 6 5 0 5 0 1 0 1 0 0 0 6 42 * 11 7 0 0 2 0 0 0 0 0 0 0 7 27 11.30 * 9 4 4 0 3 0 1 0 0 0 0 0 7 28 * 16 1 4 0 3 0 0 0 0 0 0 0 4 28 12.00 * 18 7 6 0 1 0 0 0 0 0 0 0 4 36 • 21 2 7 0 4 0 1 0 0 0 0 0 5 40 12.30 * 4 1 3 0 2 0 0 0 0 0 0 0 5 15 * 7 3 3 0 2 0 0 0 0 0 0 0 4 19 13.00 * 14 3 4 0 6 0 0 0 0 0 0 0 3 30 * 11 4 7 1 3 4 0 0 0 0 0 0 4 34 13.30 * 18 9 2 1 3 0 0 0 0 0 0 0 5 38 * 29 5 10 0 2 1 0 0 0 0 0 0 4 51 14.00 * 18 3 7 0 3 4 0 2 0 0 0 0 4 41 * 31 6 6 0 2 1 0 1 0 0 0 0 8 55 14.30 * 18 3 7 1 3 4 0 0 0 0 0 0 9 45 * 11 7 3 1 5 0 0 1 0 0 0 0 3 31 15.00 * 4 3 5 0 0 0 0 0 0 0 0 0 3 15 * 19 7 6 0 5 4 0 0 0 0 0 0 8 49 15.30 * 19 5 15 0 2 4 0 0 0 0 0 0 8 53 * 23 2 4 0 4 0 0 0 0 0 0 0 8 41 16.00 * 9 2 2 0 2 0 2 0 0 0 0 0 6 23 * 23 3 3 0 4 0 1 1 0 0 0 0 7 42 16.30 * 20 5 6 0 2 0 1 0 0 0 0 0 6 40 * 32 7 5 0 5 0 1 0 0 0 0 0 6 56 17.00 * 27 5 6 0 4 0 1 0 0 0 0 0 6 49 * 11 5 4 0 5 0 1 0 1 0 0 0 7 34 17.30 * 14 9 5 0 5 0 0 0 0 0 0 0 7 40 20 4 3 0 1 0 1 0 1 0 0 0 0 30 15 11 3 0 2 1 2 0 0 0 0 0 0 34

811 221 255 25 168 35 33 5 4 2 0 0 306 186S GETAMBE

3W& Motor Trucks NonR Office Route Time C/V/J Taxi Bike (2) Sch.V DeU.V Cycles Bus Van Cont Tract. Carts Bus Total • 12 2 2 1 1 0 0 0 0 19 37 6.00 4 12 2 2 1 1 0 0 0 0 18 36 • 12 2 2 1 1 0 0 0 0 0 0 0 21 39 6.30 * 7 2 2 2 24 0 2 0 0 0 0 0 22 61 « 34 10 10 4 99 1 2 0 0 0 0 0 32 192 7.00 23 8 11 1 75 0 1 0 0 0 0 0 31 150 « 30 13 24 2 26 1 5 0 0 0 0 0 29 130 7.30 4 46 13 21 4 15 1 4 0 0 0 0 1 30 135 * 52 19 19 8 1 1 5 0 0 0 0 0 30 135 8.00 4 24 12 16 7 0 1 4 1 0 0 0 0 29 94 * 50 12 10 5 0 5 2 0 0 0 0 0 15 99 8.30 * 41 9 8 11 0 1 0 1 0 0 1 0 15 87 * 37 13 7 8 0 0 0 0 0 0 0 0 27 92 9.00 « 40 2 12 8 0 0 0 2 0 0 0 0 28 92 40 8 4 13 0 1 1 0 0 0 0 0 17 84 9.30 4 29 5 12 2 0 1 1 0 2 0 0 0 17 69 4 62 3 8 9 0 0 2 0 1 0 0 0 22 107 10.00 * 47 10 6 2 0 0 3 0 1 0 0 0 22 91 * 28 3 6 5 0 5 2 1 1 4 0 0 25 80 10.30 « 21 4 4 5 0 0 0 1 0 0 0 0 24 59 0 41 11 5 5 0 1 0 1 0 0 0 0 14 78 11.00 4 41 3 7 6 0 0 0 1 0 0 0 0 15 73 4 31 8 13 8 0 1 0 0 2 0 0 0 18 81 11.30 4 46 9 7 7 0 0 1 0 1 7 1 0 17 96 4 51 5 15 9 0 1 2 1 1 0 0 0 17 102 12.00 4 51 10 15 10 3 1 4 3 0 0 0 0 17 114 4 44 4 13 3 1 1 1 0 0 0 0 0 20 87 12.30 4 39 7 9 6 0 0 2 2 0 0 0 0 21 86 4 43 2 5 11 0 0 3 3 0 0 0 0 19 86 13.00 4 54 8 12 6 0 2 4 1 0 0 0 0 19 106 * 46 5 16 6 0 1 1 1 0 0 0 0 17 93 13.30 4 37 7 11 4 2 1 1 1 0 0 0 0 17 81 4 29 1 6 6 3 1 1 0 0 0 0 0 11 58 14.00 4 38 4 7 7 0 0 1 2 0 0 0 0 11 70 4 42 6 7 6 1 0 0 2 0 0 0 0 16 80 14.30 4 25 3 9 4 1 2 0 1 0 0 0 0 16 61 4 36 6 4 8 0 2 1 1 1 0 0 0 16 75 15.00 4 42 6 9 10 0 2 2 0 0 0 1 0 16 88 4 37 6 7 7 0 4 2 1 0 0 1 0 18 83 15.30 4 23 2 6 0 0 9 0 3 0 0 0 0 18 61 4 45 5 7 9 0 11 2 2 1 0 0 0 19 101 16.00 4 50 8 4 15 0 4 3 0 1 0 0 0 18 103 4 60 11 7 8 0 4 0 0 0 0 0 0 18 108 16.30 4 52 11 13 7 0 2 1 0 0 0 0 0 19 105 4 37 6 18 7 0 3 1 1 0 0 0 0 16 89 17.00 4 54 5 11 6 0 1 2 0 0 0 0 0 15 94 4 24 4 6 4 0 4 4 1 0 0 0 0 15 62 17.30 4 42 12 8 6 0 1 1 1 0 0 0 0 15 86

1807 327 443 290 254 77 74 35 12 11 4 1 941 4276 Gohagoda

3W& Motor Trucks NonR Office Route Time C/V/J Taxi Bye (2) Sen. V DeU.V Cycles Tract Bus Cont Van Carts Bus Total 6.00 0 2 0 2 1 0 1 1 0 0 0 0 1 2 10 * 5 4 0 4 0 0 0 0 0 0 0 0 1 14 6.30 * 12 2 4 4 4 0 2 0 0 0 0 0 4 32 • 7 0 2 6 2 0 0 0 0 0 0 1 5 23 7.00 • 8 4 7 6 3 0 4 0 0 0 0 0 5 37 10 2 16 7 2 2 3 0 0 0 1 0 4 47 7.30 • 16 3 22 0 1 2 1 0 0 0 0 0 5 50 * 12 8 19 5 1 0 3 0 0 0 2 0 6 56 8.00 * 16 4 10 13 0 1 0 0 0 0 0 0 2 46 p 6 5 9 5 0 1 0 0 0 0 0 0 2 28 8.30 # 20 5 6 7 0 2 1 1 0 0 0 0 2 44 10 5 6 11 0 1 0 0 0 0 0 0 2 35 9.00 « 13 5 11 8 0 6 2 1 0 0 0 0 3 49 8 7 6 7 0 1 0 1 2 0 0 0 2 34 9.30 * 10 8 12 3 0 2 0 3 0 0 0 0 2 40 * 10 2 7 9 0 0 0 2 0 1 0 0 2 33 10.00 * 8 10 5 4 0 1 1 2 0 0 0 0 2 33 * 11 8 3 5 0 3 1 1 1 0 0 0 3 36 10.30 7 1 6 10 0 2 1 0 0 0 0 0 2 29 * 19 7 6 5 0 0 1 1 1 0 0 0 1 41 11.00 * 13 8 5 6 0 4 0 1 0 1 0 0 2 40 * 17 4 6 8 0 0 1 1 2 0 0 0 3 42 11.30 » 15 12 2 6 0 0 0 3 1 0 1 0 1 41 * 6 6 6 6 0 2 2 1 1 0 0 0 1 31 12.00 * 8 7 5 7 0 0 3 2 0 0 0 0 2 34 * 19 7 3 12 0 1 0 0 0 1 1 0 2 46 12.30 * 12 7 13 10 1 1 2 1 2 0 0 0 2 51 12 9 2 11 0 0 1 0 0 0 0 0 2 37 13.00 * 10 4 5 6 0 0 2 2 0 1 0 0 32 « 10 10 4 3 0 0 0 2 0 1 1 0 2 33 13.30 15 9 1 10 0 0 2 1 0 1 0 0 2 41 * 12 7 5 4 0 1 1 1 0 0 0 0 1 32 14.00 * 12 5 5 9 0 0 0 1 1 0 0 0 2 35 * 13 8 5 12 1 0 1 2 0 0 0 0 2 44 14.30 16 4 4 0 0 10 6 1 0 0 0 0 2 43 * 7 5 2 4 1 0 1 0 0 0 0 0 3 23 15.00 12 3 5 7 2 2 1 2 0 0 0 0 3 37 * 16 8 3 5 2 0 0 0 1 0 0 0 2 37 15.30 14 9 5 17 0 4 5 0 1 0 0 0 2 57 * 14 8 5 10 0 0 0 0 0 0 0 0 3 40 16.00 16 10 5 7 0 1 1 1 1 0 0 0 2 44 20 4 7 14 0 0 3 2 1 1 0 0 2 54 16.30 * 7 6 4 5 0 0 1 0 0 0 0 0 3 26 9 12 8 4 6 0 2 1 1 2 1 0 0 2 39 17.00 e 17 3 11 12 0 1 0 0 0 0 0 0 3 47 « 17 8 10 8 0 3 0 1 0 0 0 0 4 51 17.30 13 5 12 10 0 2 0 0 0 1 0 0 4 47 * 12 13 10 6 0 2 0 0 2 I 0 0 4 50

577 287 313 341 20 61 55 38 19 10 6 2 122 1851 Heerassagala Junction

3 W & Motor Trucks Office NonR Route Time C/V/J Taxi Bike (2) Sch.V DeH. V Cycles Tract Van Bus Cont Carts Bus Total 6.00 8 1 3 14 0 0 1 0 0 0 0 0 5 32 « 10 3 2 4 0 1 0 0 0 0 0 0 5 25 6.30 • 26 4 1 5 1 3 2 0 0 0 0 0 4 46 * 13 3 5 6 2 0 2 0 0 1 0 0 4 36 7.00 * 58 1 24 6 11 0 2 0 2 0 1 0 14 119 68 6 16 9 7 4 0 0 1 1 1 0 14 127 7.30 100 11 29 9 1 3 1 0 0 1 1 0 15 171 * 64 12 17 13 1 1 2 0 0 0 0 0 17 127 8.00 * 86 5 28 17 0 5 0 0 1 1 0 0 10 153 * 57 4 5 7 0 0 0 0 0 3 0 0 19 95 8.30 66 8 10 7 0 2 1 0 3 I 0 0 9 107 51 6 10 10 0 0 0 0 0 1 0 0 9 87 9.00 * 56 4 6 13 0 0 0 1 2 0 0 1 8 91 * 41 6 13 13 0 2 0 0 1 2 0 0 9 87 9.30 * 58 5 14 14 0 1 0 0 2 1 0 0 10 105 32 6 3 15 0 0 0 0 1 0 2 0 11 70 10.00 31 7 7 13 0 0 0 0 1 0 0 0 7 66 * 60 10 11 12 0 1 0 0 0 1 0 0 7 102 10.30 * 32 4 2 16 0 2 0 0 1 2 0 0 11 70 * 44 6 8 16 0 0 1 0 0 0 0 0 10 85 11.00 • 24 6 4 13 0 2 0 0 2 0 0 0 7 58 * 37 5 8 13 0 2 0 0 1 2 0 0 6 74 11.30 • 36 3 10 20 0 0 1 0 0 0 0 0 9 79 * 54 2 8 14 0 2 1 0 0 0 0 0 8 89 12.00 * 56 10 7 7 0 0 2 0 1 1 1 0 8 93 * 35 5 2 18 0 0 0 1 0 0 1 1 9 72 12.30 * 41 5 1 13 0 0 0 0 0 0 0 0 12 72 * 35 6 1 15 0 0 0 0 2 1 0 0 12 72 13.00 * 27 10 6 14 0 0 0 0 0 1 0 0 10 68 * 41 8 7 8 0 0 0 0 1 0 0 0 10 75 13.30 * 41 5 6 8 0 1 1 0 1 0 0 0 14 77 52 7 4 14 0 0 0 0 1 0 0 0 14 92 14.00 • 45 8 8 10 0 0 0 0 0 0 0 0 9 80 41 7 10 20 0 2 0 0 2 1 0 0 9 92 14.30 * 56 11 9 10 1 1 2 0 1 0 0 0 10 101 » 44 5 7 7 0 4 0 0 1 0 0 0 10 78 15.00 37 4 8 13 0 1 1 0 0 1 0 0 11 76 * 37 5 5 10 0 1 1 0 2 0 0 0 11 72 15.30 * 42 6 4 10 0 0 2 0 0 0 0 0 8 72 * 57 3 11 17 0 0 0 0 0 1 0 0 8 97 16.00 « 46 4 5 8 0 2 0 0 1 1 0 0 9 76 * 49 3 4 11 0 1 0 0 1 0 0 0 8 77 16.30 « 36 5 11 15 0 2 0 0 0 2 0 0 8 79 » 45 8 7 14 0 1 1 0 1 0 1 0 11 89 17.00 52 7 3 8 0 1 1 0 1 0 0 0 8 81 • 31 3 3 11 0 0 0 0 0 0 0 0 8 56 17.30 * 42 4 3 6 0 0 0 0 0 0 1 0 13 69 * 39 2 2 6 0 0 1 0 0 0 1 0 14 65

2139 269 378 552 24 48 26 2 34 26 10 2 472 3982

Hi Katugastota Bridge

3W& Motor School Trucks NonR Office Route Time C/V/J Taxi Bike Van (2) Cycles Deli. V Bus Tract. van Cont Carts Bus Total 6.00 * 19 6 11 0 10 3 0 0 0 1 0 0 30 80 « 17 7 8 0 8 2 0 1 0 0 0 0 29 72 6.30 25 4 9 13 9 2 0 1 0 0 0 0 37 100 41 8 11 50 14 0 1 0 0 0 0 0 37 162 7.00 60 15 23 75 12 5 1 0 0 0 0 1 40 232 80 22 26 32 14 12 3 1 0 0 0 0 40 230 7.30 89 19 47 20 15 6 0 2 0 0 1 0 30 229 82 35 76 6 8 13 1 0 0 1 2 0 30 254 8.00 86 24 53 1 14 7 6 2 1 2 0 0 43 239 95 36 60 2 14 3 1 1 0 0 0 0 43 255 8.30 77 23 31 4 14 3 0 2 1 0 3 1 29 188 85 24 20 1 14 2 2 1 0 1 0 0 29 179 9.00 96 19 22 3 18 2 1 0 0 1 1 0 43 206 79 23 22 0 17 4 3 2 1 0 1 0 43 195 9.30 75 27 22 0 17 1 3 0 1 1 4 0 30 181 94 27 15 0 22 4 6 3 3 1 0 0 30 205 10.00 106 18 23 0 31 1 4 0 2 1 0 0 11 197 • 92 36 15 0 17 4 7 1 3 0 0 0 10 185 10.30 65 24 29 0 14 3 5 2 2 0 0 0 25 169 63 15 18 0 14 4 3 0 3 1 0 0 26 147 11.00 89 23 13 0 19 2 3 1 0 3 0 0 22 175 82 28 18 0 18 4 3 0 0 1 0 2 22 178 11.30 81 31 30 0 20 3 5 1 2 0 0 0 27 200 69 16 20 0 13 1 2 1 0 0 0 0 26 148 12.00 60 21 27 0 10 2 8 0 2 0 0 0 24 154 84 20 29 0 18 1 4 0 1 0 0 0 24 181 12.30 86 21 25 0 19 4 1 3 0 0 0 0 22 181 57 26 18 0 24 0 3 1 1 0 1 0 22 153 13.00 62 20 11 0 19 4 1 1 0 2 0 0 24 144 70 27 23 2 14 3 0 2 1 1 1 0 24 168 13.30 61 25 17 0 17 3 1 0 3 1 0 0 19 147 82 16 15 0 10 1 1 3 4 2 0 0 19 153 14.00 61 17 15 0 14 1 0 2 1 0 0 0 22 133 65 19 9 1 14 2 0 2 0 0 0 1 22 135 14.30 27 14 6 5 16 5 1 0 0 0 0 0 23 97 61 26 17 3 20 0 2 0 1 0 2 1 25 158 15.00 82 24 22 0 15 5 2 0 0 1 1 0 26 178 53 13 11 0 11 1 0 0 0 0 0 0 26 115 15.30 91 12 6 0 15 1 2 0 0 0 0 0 28 155 67 18 12 0 11 4 4 5 0 0 0 0 28 149 16.00 83 13 18 0 19 5 4 1 0 0 0 0 30 173 89 24 29 0 21 1 4 1 0 1 0 0 29 199 16.30 109 16 22 0 15 1 6 1 0 0 0 0 34 204 93 18 15 0 26 5 3 0 0 0 0 0 33 193 17.00 77 23 18 0 25 1 1 1 0 0 0 0 27 173 81 29 7 0 20 1 1 1 0 0 0 0 28 168 17.30 89 11 5 0 19 1 3 3 0 1 0 0 23 155 23 10 10 0 13 2 0 0 0 2 0 0 22 82 3460 973 1009 218 771 145 112 49 33 25 17 6 1336 8154 Tennekumbura

3W& Motor Trucks NonR Office Route Time C/V/J Taxi Bike (2) Sen. V DeH. V Cycles Tract Bus Cont Van Carts Bus Total 6.00 » 14 1 4 6 0 0 0 0 0 0 0 0 13 38 * 19 2 6 9 0 4 0 1 0 0 0 0 13 54 6.30 * 24 2 4 9 2 0 0 0 0 0 0 0 21 62 * 19 2 9 7 20 3 1 0 1 0 0 0 20 82 7.00 * 56 1 10 6 37 0 0 1 0 0 2 0 18 131 * 64 8 20 10 5 1 0 3 0 0 0 0 18 129 7.30 « 56 7 30 12 1 0 1 6 1 0 0 0 19 133 * 46 6 19 6 0 3 1 1 1 0 2 0 19 104 8.00 4 48 6 22 5 1 0 0 2 0 0 3 0 10 97 * 42 8 15 6 0 2 1 2 1 0 0 0 11 88 8.30 * 48 4 13 9 0 1 0 0 0 1 3 1 15 95 * 41 3 14 13 0 3 2 0 2 0 1 0 14 93 9.00 » 47 14 13 11 0 3 0 0 0 0 0 0 13 101 * 34 10 8 11 0 1 0 2 0 0 0 0 14 80 9.30 • 44 8 18 12 0 1 1 1 1 0 1 0 10 97 * 39 6 10 15 0 0 0 0 0 2 0 0 9 81 10.00 * 42 9 12 11 0 3 0 0 0 0 0 0 13 90 * 36 7 8 6 0 2 1 1 1 0 0 0 14 76 10.30 * 33 6 13 8 0 0 1 1 1 0 0 0 13 76 • 29 12 10 22 0 0 0 1 0 0 0 0 13 87 11.00 4 37 4 9 10 0 2 0 2 0 0 0 0 12 76 * 26 7 9 8 0 2 1 1 1 0 0 0 12 67 11.30 * 36 11 6 14 0 1 2 0 2 0 2 0 12 86 * 35 3 9 15 0 3 2 0 2 0 0 0 12 81 12.00 » 25 5 12 17 0 1 4 0 4 0 0 0 12 80 4 37 5 4 18 0 1 1 0 1 0 1 0 12 80 12.30 • 42 4 7 11 0 0 2 0 0 0 0 0 10 76 * 29 4 5 8 0 1 0 0 0 1 0 0 9 57 13.00 4 28 2 6 10 0 2 1 2 1 0 0 0 11 63 4 35 10 7 8 0 1 0 0 0 0 0 0 11 72 13.30 4 42 7 18 8 0 0 0 0 0 0 0 0 12 87 4 23 5 5 7 0 0 1 0 1 0 0 0 13 55 14.00 4 40 8 4 4 0 1 0 1 0 0 0 0 10 68 4 23 0 9 5 0 2 1 0 1 0 2 0 9 52 14.30 4 40 9 9 9 0 2 0 0 0 0 0 1 10 80 4 31 2 8 6 0 2 0 0 0 0 0 0 11 60 15.00 4 44 5 10 2 0 2 0 0 0 0 0 0 13 76 4 31 4 4 8 0 0 0 0 0 0 1 0 13 61 15.30 4 43 6 2 9 0 1 1 0 1 0 0 0 11 74 4 36 4 2 9 0 1 2 0 2 0 0 0 11 67 16.00 4 26 3 5 4 0 0 2 0 2 0 0 0 12 54 4 47 3 4 8 0 3 0 1 0 1 0 0 12 79 16.30 4 48 7 9 4 0 0 2 0 2 0 0 0 14 86 4 40 9 6 9 0 0 0 0 0 0 0 0 13 77 17.00 4 57 2 6 21 0 1 1 2 1 0 0 1 13 105 4 36 5 7 6 0 2 4 2 4 0 0 0 14 80 17.30 4 27 4 3 7 0 3 0 1 0 0 0 0 7 52 4 21 3 3 5 0 1 0 1 0 0 0 0 6 40

1766 263 446 444 66 62 36 35 34 5 18 3 607 378S Mahaiyawa -near B.M.C. Bldg

3 W & Motor School Truck(2 Office NonR Route Time C/V/J Taxi Bye van Ax) DeH. V Cycles van Bus Cont Tractor Carts Bus Total 6.00 0 32 2 7 1 7 3 3 0 0 0 0 0 29 84 * 31 6 13 1 12 7 1 0 1 0 0 0 29 101 6.30 4 28 3 5 5 9 2 0 0 0 0 0 0 45 97 * 39 5 13 36 12 0 1 1 0 0 0 0 45 152 7.00 * 64 9 18 65 7 4 7 0 1 0 0 0 52 227 • 79 19 36 70 12 1 3 0 0 0 0 0 52 272 7.30 * 108 24 21 29 17 3 5 0 0 0 1 1 41 250 0 131 25 47 28 11 2 6 2 1 0 1 1 41 296 8.00 * 105 42 50 5 14 2 9 3 1 0 0 0 43 274 0 129 40 53 1 13 5 1 3 0 0 0 0 42 287 8.30 * 114 17 39 0 13 1 2 1 0 0 0 0 38 225 99 23 46 0 15 8 0 3 0 0 0 0 39 233 9.00 * 97 25 24 0 22 0 2 0 0 0 0 0 36 206 * 102 24 32 0 20 3 1 0 0 0 0 0 37 219 9.30 * 95 31 18 0 24 5 1 2 0 0 0 0 30 206 0 135 21 28 0 21 9 2 2 0 0 0 0 30 248 10.00 * 103 19 17 0 16 2 1 1 0 0 0 0 29 188 0 86 28 28 0 28 3 0 1 2 0 0 0 28 204 10.30 * 88 33 33 0 17 6 4 2 1 0 0 0 30 214 0 87 22 25 0 27 4 2 2 0 0 0 0 30 199 11.00 0 96 18 13 0 17 3 0 0 0 0 0 0 33 180 0 132 36 22 0 13 4 1 0 0 0 0 0 33 241 11.30 * 95 40 12 0 16 1 0 0 1 0 0 0 30 195 0 79 23 5 0 26 2 1 1 0 0 0 0 29 166 12.00 * 95 33 11 0 15 1 1 2 0 0 0 0 31 189 0 96 23 9 0 13 0 1 0 1 0 0 0 31 174 12.30 0 129 32 9 6 17 3 1 0 1 0 0 0 26 224 0 79 27 8 3 15 1 2 3 1 0 0 0 25 164 13.00 0 85 33 13 3 15 1 1 3 1 0 0 0 33 188 0 98 33 22 4 16 2 0 2 3 0 5 0 33 218 13.30 0 89 25 14 5 23 2 1 0 1 0 0 0 26 186 0 85 27 23 3 26 5 0 1 4 0 0 0 26 200 14.00 0 112 23 15 8 25 4 2 0 0 0 0 0 25 214 0 89 35 9 5 18 3 1 0 1 0 0 1 25 187 14.30 0 117 20 11 8 18 1 1 0 5 0 6 0 24 211 0 115 23 9 1 20 2 0 1 1 0 0 0 25 197 15.00 0 96 28 16 1 22 4 0 1 1 0 0 0 37 206 0 84 31 26 0 25 2 1 3 2 0 0 0 36 210 15.30 0 120 28 22 1 16 7 2 2 6 0 0 0 35 239 0 94 27 31 0 19 6 1 2 7 0 0 0 36 223 16.00 0 121 21 21 0 17 4 0 0 2 0 0 0 34 220 0 106 29 16 1 28 6 1 3 1 0 8 0 33 232 16.30 * 112 23 17 0 20 5 2 1 1 0 5 0 33 219 0 113 26 12 0 20 2 0 2 0 0 0 0 33 208 17.00 0 116 24 21 0 22 5 0 1 1 0 0 0 32 222 0 111 23 16 0 11 3 2 2 0 2 0 0 33 203 17.30 0 102 26 22 0 17 2 2 1 1 0 0 0 38 211 0 103 22 18 0 30 2 0 3 3 0 0 0 38 219 4621 1177 996 290 857 153 75 57 52 2 26 3 1619 9928 William Gopallawa

Motor 3Whe./T Scho.va NonR Trucks( Route Tune Cycle bike a xi C/V/J Offtvan n Bus Del. van 2Ax) Conk Tract. Carts Bus Total 6.00 * 2 5 0 14 0 1 0 1 18 0 0 0 7 48 0 0 9 1 12 1 0 0 1 14 1 0 0 6 45 6.30 * 0 12 5 20 1 7 0 0 5 0 0 0 17 67 * 0 8 12 26 0 3 0 0 6 0 0 0 17 72 7.00 * 3 23 8 60 0 31 0 2 9 0 0 0 19 155 * 1 33 10 70 1 40 0 0 13 0 0 0 19 187 7.30 * 1 43 19 73 1 7 0 1 17 0 0 0 10 172 • 0 33 13 110 1 31 0 3 16 1 0 0 10 218 8.00 * 1 22 18 86 2 4 0 1 12 0 0 0 9 155 * 0 12 10 80 0 0 0 1 17 0 2 0 9 131 8.30 * 0 19 13 63 0 1 0 14 0 0 0 20 132 * 2 16 4 36 2 0 0 0 12 0 1 0 21 94 9.00 0 0 15 11 83 3 0 1 0 16 0 0 0 12 141 * 0 9 13 56 2 0 1 -> 14 1 0 0 11 109 9.30 * 1 15 9 62 1 0 0 2 )4 2 0 0 11 117 * 0 6 8 59 1 0 0 0 17 0 0 11 104 10.00 0 10 10 50 2 0 0 3 10 0 0 0 11 96 0 0 3 4 45 2 0 1 1 7 1 0 0 11 76 10.30 * 0 7 10 53 4 0 0 1 9 1 0 0 5 90 * 0 17 23 57 1 0 1 5 10 1 0 0 4 119 11.00 t 5 14 25 91 0 1 0 3 9 1 1 0 17 167 0 0 12 17 82 0 0 0 4 11 0 0 1 17 144 11.30 0 1 18 16 82 1 0 2 1 9 0 0 0 12 142 0 0 17 28 76 1 0 2 3 14 0 0 0 12 153 12.00 0 2 22 23 69 0 1 1 7 9 0 0 0 11 145 0 2 15 18 73 1 5 1 4 11 0 0 0 11 141 12.30 0 0 15 20 74 1 8 0 2 10 0 0 0 15 145 0 0 17 28 72 0 25 1 1 11 0 0 0 15 170 13.00 0 0 15 29 78 0 19 0 3 2 0 0 0 15 161 0 0 11 25 62 1 3 3 0 6 0 0 0 15 126 13.30 0 1 18 25 77 1 8 1 3 9 0 1 0 12 156 0 0 12 28 58 0 0 0 0 9 0 0 0 12 119 14.00 0 2 22 23 52 0 27 0 0 5 0 0 0 13 144 0 0 11 18 52 1 48 0 1 1 0 0 0 14 146 14.30 0 2 10 15 57 2 50 2 0 5 0 0 0 11 154 0 1 8 20 100 1 29 1 4 13 0 0 0 11 188 15.00 0 1 8 17 92 1 11 2 0 9 0 0 0 10 151 0 0 19 22 65 0 2 1 3 5 0 0 0 11 128 15.30 0 2 16 24 61 1 0 1 3 6 0 0 0 10 124 0 0 13 25 79 1 0 1 1 5 0 0 0 11 136 16.00 0 0 17 22 85 0 0 0 2 8 0 0 0 3 137 0 0 18 24 86 1 0 0 1 5 0 0 0 13 148 16.30 0 0 16 22 90 0 0 1 2 6 1 0 0 5 143 0 2 11 33 100 1 0 0 2 6 0 0 0 9 164 17.00 0 1 11 27 85 3 0 2 3 6 0 0 0 7 145 0 2 19 22 95 4 0 1 4 6 0 0 0 8 161 17.30 0 2 17 23 96 3 0 1 3 8 1 0 0 9 163 0 2 11 21 82 5 0 1 5 6 0 0 0 8 141 39 730 841 3286 55 362 29 91 460 14 5 1 557 6470 KatukeUe near Weinbll Theater

3 W& Motor Trucks NonR Office Route Time C/V/J Taxi Bike (2) Sch. V DeU.V Cycles Tract. Bus Cont Van Carts Bus Total 6.00 * 18 1 4 2 0 0 2 0 0 0 0 0 3 30 * 14 3 2 6 2 2 1 0 0 0 0 0 3 33 6.30 • 23 1 8 5 0 0 2 0 0 0 0 0 11 50 * 45 5 8 4 27 0 0 0 0 0 0 0 10 99 7.00 * 50 8 5 7 74 2 0 0 1 0 0 0 9 156 * 68 10 5 1 91 3 1 0 1 0 0 0 10 190 7.30 * 84 20 12 4 72 0 0 0 0 0 0 0 10 202 119 19 32 3 38 4 0 0 0 0 1 0 10 226 8.00 114 12 25 6 0 1 0 0 1 0 0 0 6 165 « 87 23 72 6 0 1 0 0 1 0 0 0 7 197 8.30 0 87 18 16 10 0 1 2 0 0 1 0 1 8 144 * 111 29 27 12 0 1 1 1 2 0 2 0 9 195 9.00 « 0 17 18 6 0 3 2 0 0 2 0 0 9 57 47 19 11 6 0 3 1 0 0 0 0 0 9 96 9.30 * 45 18 16 5 0 5 0 0 1 0 2 0 11 103 0 72 17 18 5 0 4 1 0 0 0 2 0 10 129 10.00 * 71 24 18 15 0 4 3 1 1 0 1 0 8 146 « 77 21 5 12 0 1 1 0 0 0 0 0 9 126 10.30 » 67 23 18 6 0 1 0 0 2 0 1 0 12 130 * 57 23 17 10 0 5 0 0 1 0 1 0 11 125 11.00 91 25 14 9 1 3 5 1 0 1 0 0 7 157 * 82 17 12 11 0 4 0 0 0 0 0 1 6 133 11.30 * 82 16 18 9 0 1 1 0 2 0 1 0 9 139 * 76 28 17 14 0 3 0 0 2 0 1 0 10 151 12.00 * 69 23 22 9 1 7 2 0 1 0 0 0 9 143 * 73 18 15 11 5 4 2 0 1 0 1 0 9 139 12.30 • 74 20 15 10 8 2 0 0 0 0 1 0 6 136 • 72 28 17 11 25 1 0 0 1 0 0 0 6 161 13.00 • 78 29 15 2 19 3 0 0 0 0 0 0 7 153 * 62 25 11 6 3 0 0 0 3 0 1 0 6 117 13.30 * 77 25 18 9 1 3 1 1 1 0 1 0 7 144 0 58 28 12 9 0 0 0 0 0 0 0 0 8 115 14.00 0 52 23 22 5 27 0 2 0 0 0 0 0 7 138 • 52 18 11 1 48 1 0 0 0 0 1 0 6 138 14.30 « 57 15 10 5 50 0 2 0 2 0 2 0 5 148 * 100 20 8 13 29 4 1 0 1 0 1 0 6 183 15.00 * 92 17 8 9 11 1 1 0 2 1 1 0 9 152 65 22 19 5 2 3 0 0 1 1 0 0 8 126 15.30 e 61 24 16 6 0 3 2 0 1 0 1 0 8 122 • 79 25 13 5 0 1 0 0 1 1 1 0 9 135 16.00 85 22 17 8 1 2 0 0 0 0 0 0 7 142 » 86 24 18 5 0 1 0 0 0 0 1 0 6 141 16.30 * 90 22 16 6 3 2 0 0 1 0 0 0 7 147 * 100 33 11 6 0 2 2 0 0 0 1 0 7 162 17.00 » 85 27 11 6 3 3 1 0 2 0 3 0 5 146 * 95 22 19 6 0 4 2 0 1 0 4 0 6 159 17.30 96 23 17 8 0 3 2 0 1 0 3 0 8 161 * 82 21 11 6 0 5 2 0 1 0 5 0 8 141

3427 951 750 341 541 107 45 4 36 7 40 2 377 6628 Between Good shed Bus Stand & Railway Station

3W& Motor Trucks NonR Office Route Time C/V/J Taxi Bike (2) Sch.V DeB. V Cycles Tract. Bus Cont Van Carts Bus Total 6.00 * 5 2 0 0 0 0 0 0 0 0 0 0 15 22 4 0 4 0 0 0 0 0 0 0 0 0 20 28 6.30 5 3 3 0 0 1 0 0 0 0 0 0 23 35 » 2 8 0 1 2 0 0 0 0 0 0 0 23 36 7.00 » 5 3 2 1 4 1 3 0 0 1 0 0 25 45 10 8 3 2 5 2 1 0 0 0 0 0 20 51 7.30 * 8 5 6 1 5 0 2 0 0 0 0 0 24 51 * 25 7 9 0 0 0 0 0 0 0 0 0 24 65 8.00 * 16 1 8 0 0 0 0 0 0 0 1 0 26 52 * 7 5 5 0 0 0 1 0 0 0 0 0 26 44 8.30 * 13 12 2 3 0 1 0 0 0 0 0 0 22 53 6 3 4 i 0 0 0 0 0 0 1 0 21 37 9.00 * 17 17 4 1 0 0 3 0 0 0 0 0 20 62 * 14 11 4 0 0 1 1 0 0 0 0 0 21 52 9.30 15 10 4 4 0 0 0 0 0 0 0 0 21 54 0 7 1 2 0 0 0 0 0 0 0 0 20 30 10.00 « 10 12 3 1 0 0 0 0 0 0 0 0 21 47 * 6 13 3 0 0 0 1 0 0 0 0 1 21 45 10.30 11 4 7 1 0 1 1 0 0 0 0 0 23 48 * 12 10 4 2 0 1 1 0 0 0 0 1 23 54 11.00 * 15 11 1 1 0 1 2 0 0 0 0 0 20 51 * 11 6 1 1 0 0 0 0 0 0 0 0 21 40 11.30 * 15 11 4 5 0 2 2 0 0 0 0 0 27 66 * 13 6 2 1 0 2 1 0 0 0 0 0 26 51 12.00 * 17 9 3 3 1 0 0 0 0 0 0 0 14 47 * 12 9 4 1 2 1 0 0 0 0 0 0 15 44 12.30 + 6 8 3 1 2 2 0 0 0 0 0 2 21 45 14 4 5 6 2 2 0 0 0 0 0 1 21 55 13.00 * 29 20 3 2 1 1 0 0 0 0 0 1 22 79 * 20 5 3 1 0 1 0 0 0 0 0 2 22 54 13.30 * 16 7 3 0 2 0 1 0 0 0 0 0 20 49 12 7 1 1 0 0 1 0 1 0 0 1 20 44 14.00 * 17 7 6 3 4 0 0 0 0 0 0 1 17 55 0 7 11 3 2 6 0 0 0 0 0 0 1 16 46 14.30 e 6 8 3 3 5 1 0 0 1 0 0 0 18 45 * 8 7 2 1 1 0 0 0 0 0 0 1 18 38 15.00 9 5 1 4 1 1 1 0 0 0 0 0 21 43 » 6 6 2 2 0 0 0 0 2 0 0 0 22 40 15.30 * 9 8 1 2 0 2 0 0 0 0 1 0 19 42 8 5 0 1 0 1 2 0 0 0 1 0 19 37 16.00 * 13 8 4 3 0 2 3 0 0 0 1 0 19 53 * 5 7 3 1 0 2 0 0 0 0 1 0 18 37 16.30 9 9 5 1 0 1 1 0 0 0 1 0 19 46 * 20 8 0 2 0 0 1 0 0 0 1 0 19 51 17.00 11 3 0 9 0 1 0 0 0 0 1 0 15 40 • 7 6 1 0 0 0 1 0 0 0 1 0 15 31 17.30 4 9 7 1 0 0 0 2 0 0 0 1 0 8 28 * 8 4 0 3 0 1 1 0 0 0 1 0 18 36 523 363 146 81 43 32 33 0 4 1 12 12 969 2204 Lake Round - near Suisse Hotel f

Motor 3 W& Non Trucks( Ronte Time Cycle bike Taxi C/V7J Offic.van Sell. V Rou-bus Den. van 2Axle) Conta. Tractors Carts Bus Total 6.00 * 6 4 5 27 0 0 0 0 18 0 0 0 26 86 0 2 11 8 33 2 1 1 0 17 0 0 0 26 101 6.30 * 4 9 10 60 0 4 3 0 20 0 0 0 35 145 * 2 17 12 49 3 12 1 0 18 0 0 0 35 149 7.00 » 8 17 15 88 0 40 2 0 10 0 0 0 36 216 * 3 31 17 115 1 42 1 0 11 0 0 0 36 257 7.30 • 2 25 18 121 1 21 1 0 5 0 0 0 35 229 * 1 31 13 128 0 9 1 1 7 1 0 0 35 227 8.00 * 2 48 23 164 0 1 2 0 15 0 0 0 32 287 0 2 31 21 100 0 0 0 3 13 0 0 0 32 202 8.30 * 4 28 29 108 0 0 0 1 7 0 0 0 12 189 0 0 19 22 92 2 0 0 6 5 0 0 0 12 158 9.00 • 0 23 18 80 1 0 0 2 11 0 0 0 23 158 • 2 17 26 79 1 0 1 1 5 0 0 0 22 154 9.30 * 1 15 16 93 0 0 2 1 10 1 0 0 26 165 0 1 18 24 63 1 0 1 0 15 0 0 0 26 149 10.00 0 0 16 24 85 0 0 1 1 8 0 0 1 12 148 0 0 17 14 69 2 0 0 1 16 0 1 1 13 134 10.30 0 0 12 25 68 0 0 0 1 7 0 0 0 30 143 0 3 20 25 82 0 0 0 0 5 0 1 0 31 167 11.00 0 0 5 26 72 0 0 1 0 11 0 1 0 21 137 0 0 18 18 77 1 0 0 1 4 0 0 0 20 139 11.30 0 1 22 28 78 0 0 0 0 6 0 0 0 18 153 0 2 16 19 75 2 0 0 1 6 1 0 0 18 140 12.00 0 0 13 20 84 0 0 0 0 4 1 0 0 23 145 0 2 27 29 107 1 2 1 1 4 0 0 0 22 196 12.30 0 0 15 26 93 1 0 3 1 2 0 2 2 16 161 0 0 12 21 83 1 1 2 0 10 0 0 0 16 146 13.00 0 0 15 15 82 1 21 0 0 11 0 0 0 18 163 0 0 9 18 79 1 3 0 1 3 0 0 0 18 132 13.30 0 1 16 17 94 0 8 0 0 10 1 0 0 16 163 0 0 17 27 82 0 1 0 0 3 1 1 0 15 147 14.00 0 2 17 23 107 0 24 0 1 6 0 0 0 32 212 0 0 12 18 119 0 42 0 0 9 0 0 0 32 232 14.30 0 0 14 26 99 2 28 0 1 10 0 0 0 20 200 0 2 19 13 73 0 21 3 3 9 0 0 0 21 164 15.00 0 2 17 24 102 0 4 1 4 10 0 0 0 19 183 0 2 12 16 76 0 1 0 0 8 0 0 0 19 134 15.30 0 1 9 10 85 1 0 3 0 10 0 0 0 24 143 0 2 11 18 109 0 0 0 1 10 1 0 0 24 176 16.00 0 0 16 8 114 0 1 0 0 11 0 0 0 23 173 0 1 10 21 73 0 0 1 1 18 0 0 0 22 147 16.30 0 1 32 29 116 3 0 1 2 17 1 0 0 27 229 0 0 30 24 71 3 1 1 0 14 1 0 0 27 172 17.00 0 3 18 19 92 0 0 0 0 13 1 1 0 22 169 0 1 11 23 83 0 0 1 1 16 0 0 0 23 159 17.30 0 1 11 13 85 1 0 3 1 9 0 0 0 7 131 0 2 11 11 76 0 0 1 0 13 0 0 0 6 120

69 844 925 4190 32 288 39 38 480 10 7 4 1104 8030 Hour of the day Day Traffic Flow towards Kandy on Getambe

Day Traffic Flow toward* Kandy on Katngartota Bridge

300 Day Traffic Flow towards Kandy on Tennekumbura

140 t

******** 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 Hour of the day Day Traffic Flow towards Kandy on Mahaiyawa 350

300

-C/V/J

-3 W& 250 Taxi Motor Bye • Sch. V

- Trucks (2) •Deli. V 200 - Cycles

- Office Van -NonR Bus Tract.

[ £ 150 - Carts

Cont

Route Bus -Total

100

50

6.00 7 30 10 30 12.00 13 30

Hour of the day

Day Traffic Flow towards Kandy on Katukelle near Wembli Theater

250 -i . Day Traffic Flow towards Kandy on Good Shed Bus Stand & Railway Station

90

ANNEXURE C

Road width = 9.8m Shoulder width = 1.4m Considering Parallel parking one side 9.8m - 2.5m =7.3m For one lane 7.3m/2 = 3.65m Therefore Fw = 0.96 Directional distribution of traffic is considered as 60 / 40

Therefore Fd =0.94

C = 2800 x Fd x Fw = 2800 x 0.94 x 0.96 C = 2527 PCU / Hr for 2 lane

Different LOS may be described as level of services A,B,C.D,E and F

LOS A :- Free flow with low volumes & operating speeds close to design speed, drivers can mamtain their desired speed. LOS B :- Zone of stable flow, drivers still have reasonable freedom of mamtaining their desired speed. LOS C :- Zone of stable flow , average speeds are significantly lower than the design speed drivers have no freedom to maintain their own desired speed. LOS D : - Unstable flow with greater speed fluctuations, casual by the restriction of drivers around the other motorists. LOS E :- Freedom of maneuverability severely restricted with flow being unstable with occasional stoppages in flow. LOS F :- Average speeds are low with frequent stoppages & both speed & slow drops to zero. Locations Peak hr Ave. hourly Ave. / Peak hr = Peak : Peak hr Calculated Peak hr vol. in

traffic traffic veh. fo Ave. vol. in peak hr traffic PCU both ways volume (One way) PCU(One in PCU both in 2002 at 4% (Veh.) way) ways [ (5) x growth

(One way) (1+fo) ] Lake round 1004 669 0.66 60 / 40 1039 1725 2018 Tennekumbura 495 316 0.64 60 / 40 521 854 999 William Gop. 742 539 0.73 58 / 42 741 1282 1500 Heerassagala 583 336 0.58 64 / 36 579 915 1070 Katukelle 790 553 0.70 59/41 765 1301 1522 Getambe 607 356 0.59 64 / 36 650 1034 1210 Mahaiyawa 1125 827 0.74 58 / 42 1173 2041 2388 Katugastota 977 679 0.70 59/41 1011 1719 2011 Ampitiya 278 156 0.56 64 / 36 279 435 508 ANNEXURE D

SF 82- UNIVERSITY OF 1vocatio n Reorder Date 1Directio n Vi Hour Form MORATUWA ro Beginning No. ROADSIDE ] From INTERVIEW QUESTIONNAIRE (PASSENGER VEHICLES)

Place at Place at Vehicle Type Ocp Origin Origin Destination Destination 1. Motor Bike 1 1. Street l.Home 1. Street l.Home 2.3Wheeler & Taxi 2 2. Village 2. Work 2. Village 2. Work 3. Pax. Car/V an/ Jeep 3 3. Nearest 3.School/Educ. 3. Nearest 3.School/Educ. 4.Office van 4 Village 4.Business Village 4.Business 5.School Van 5 4. AG A Div/Prov. 5. Personal/ 4. AG A 5. Personal/ 6.Non Route Bus Social/Other Div/Prov. Social/Other

1.Motor Bike 1 1. Street l.Home 1. Street l.Home 2.3Wheeler & Taxi 2 2. Village 2. Work 2.Village 2. Work 3 .Pax. Car/V an/Jeep 3 3. Nearest 3.School/Educ. 3.Nearest 3.School/Educ. 4.Office van 4 Village 4.Business Village 4.Business 5.School Van 5 4. AG A Div/Prov. 5. Personal/ 4.AGA 5.Personal/ 6.Non Route Bus Social/Other Div/Prov. Social/Other

1.Motor Bike 1 1. Street l.Home 1. Street l.Home 2.3Wheeler & Taxi 2 2.Village 2. Work 2.Village 2.Work 3. Pax. Car/Van/Jeep 3 3. Nearest 3.School/Educ. 3. Nearest 3.School/Educ. 4.Office van 4 Village 4.Business Village 4.Business 5.School Van 5 4. AG A Div/Prov. 5. Personal/ 4. AG A 5. Personal/ 6.Non Route Bus Social/Other Div/Prov. Social/Other

1.Motor Bike 1 1. Street l.Home 1. Street l.Home 2.3Wheeler & Taxi 2 2. Village 2. Work 2. Village 2. Work 3. Pax. Car/Van/ Jeep 3 3. Near est 3.School/Educ. 3. Nearest 3.School/Educ. 4.Office van 4 Village 4.Business Village 4.Business 5.School Van 5 4. AG A Div/Prov. 5. Personal/ 4. AGA Div/Prov. 5.Personal/ 6.Non Route Bus Social/Other Social/Other

1.Motor Bike 1 1. Street l.Home 1. Street l.Home 2.3 Wheeler & Taxi 2 2. Village 2. Work 2.Village 2. Work 3 .Pax. Car/V an/Jeep 3 3. Nearest 3.School/Educ. 3. Nearest 3.School/Educ. 4.Office van 4 Village 4.Business Village 4.Business 5.School Van 5 4. AG A Div/Prov. 5. Personal/ 4. AGA Div/Prov. 5. Personal/ 6.Non Route Bus Social/Other Social/Other SF99 - UNIVERSITY Location Reorder Direction 'A Hour Date Form OF MORATUWA To Beginning No. ROADSIDE INTERVIEW QUESTIONNAIRE From fGOODS VEHICLES PAST MOVING)

Vehicle Commodity Type Ocp Origin Destination Type Load 1.Delivery Van 1 1. Street l.Street l.Flour 11.Chemicals 2.Trucks(2axle) 2 2. Village 2Village 2.0ther Foodstuff l.Empty 12.Steel 3.Containner & 3 3.Nearest 3.Nearest 3.tea.Rber. 13.RubberProd Multi Axle 4 Village .. Village. Count 2.1/4 14.Other Indus.Prod 4.Tractor with Trailer 5 4 AGA Div/ 4.AGA Div/ 4.Paddy Rice 15.Motor Vehicles Prov Prov 5.Vegetable 3.1/2 16.Fertilizer 6.0ther Agri.Prod 17.Bdg Materials 7Live stock 4.Full 18.Personal 8.Fish. Dry 19.Empty Bottles fish 5,Overload 20.Empty 9.Foresty Prod. lO.Pelroleum

1.Delivery Van 1 l.Street l.Street l.Flour 2Trucks(2axle) 2 2. Village 2Village 2,Other Foodstuff 11.Chemicals l.Empty 3.Containner & 3 3.Nearest 3.Nearest 3.teaRber. 12.Steel Multi Axle 4 Village. Village Count 13.Rubber Prod. 2.1/4 4.Tractor with Trailer 5 4.AGA Div/ 4.AGA Div/ 4.Paddy Rice 14. Other Indus.Prod Prov Prov S.Vege table lS.Motor Vehicles 3.1/2 6. Other Agri.Prod. 16.Fertilizer 7Xive stock 17.Bdg Materials 4.Full 8.Fish. Dry 18.Personal fish 19.Empty Bottles 5.Overload 9.Foresty Prod. 20.Empty lO.Petroleum

l.Delivery Van 1 l.Street l.Street l.Flour 2.Trucks(2axle) 2 2.Village 2. Village 2.0tber Foodstuff 11.Chemicals l.Empty 3.Containner & 3 3.Nearest 3Nearest 3.teaRber. 12.Steel Multi Axle 4 Village . Village Count 13Rubber Prod. 2.1/4 4.Tractor with Trailer 5 4.AGA Div/ 4.AGA Div/ 4.Paddy Rice 14.0ther Indus.Prod Prov Prov 5.Vege table 15. Mo tor Vehicles 3.1/2 6. Other Agri.Prod. 16.Fertilizer 7Xive stock 17.Bdg Materials 4.Full 8.Fish. Dry 18.Personal fish 19Empty Bottles 5.Overload 9.Foresty Prod 20.Empty lO.Petroleum

l.Delivery Van 1 l.Street l.Street l.Flour 11. Chemicals 2.Trucks(2axIe) 2 2. Village 2. Village 2. Other Foodstuff l.Empty 3.Containner & 3 3,Nearest 3.Nearest 3teaRber. 12. Steel Multi Axle 4 Village Village Count 13.Rubber Prod. 2.1/4 4.Tractor with Trailer 5 4.AGA Div/ 4.AGA Div/ 4.Paddy Rice 14.Other Indus.Prod lJ.Motor Vehicles Prov Prov 3.Vegetable 3.1/2 16.Fertilizer 6.0therAsri.Prod. 17.Bdg Materials 7.Live stock 4Full 18.Personal 8.Fish. Dry 19Empty Bottles fish 5.Overload 20.Empty 9.Foresty Prod lO.Petroleum COLOMBO URBAN TRANSPORT STURY DATE DIRECTION SF - UNIVERSITY OF MORATUWA TO:- MANUAL CLASSIFIED COUNTS BUSES FROM:- Location :-. Va Hours Beginning Recorder Pg .No.

Bus Size 1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 (Seats) 0 1 2 3 4 5 6 7 20 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 20-29 0 1 2 3 4 5 6 7 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 Peoplised 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 (C.T.B.) 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 1 9 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 30-39 0 1 2 3 4 5 6 7 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 40 0 1 2 3 4 5 6 7 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 20 0 1 2 3 4 5 6 7 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 Private 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 20-29 0 1 2 3 4 5 6 7 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 30-39 0 1 2 3 4 5 6 7 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 1 40 0 1 2 3 4 5 6 7 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 COLOMBO URBAN TRANSPORT STUDY Date To Direction from SF81 - UNIVERSITY OF MORATUWA MANUAL CLASSFIED COUNTS

Vi Honrs Beginning Recorder: PgJ4o.

Vehicle 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Total

Cycles 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Motor 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Bike 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80

3-Wheeler 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ATaxi 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80

Car/Van/ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Jeep 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80

Office Van 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

School 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Van 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

Non Route Bus 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Delivery Van 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Trucks 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 (2 Axle) 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Container 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 M Axle

Tractors 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

Carts 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 SOUTHERN HIGHWAY FEASIBILITY STUDY SF96 - UNIVERSITY OF MORATUWA LOCATION DATE FORM NO. BUS FLOW & PASSENGER COUNTS

Direction To From

ROUTE # Operator Class Bus Size Passenger NAME Loading

1 Peoplised 1 .Normal 1.Below 20 Seats 1 .Empty 2.Less than Vz 2.Pnvate 2.Long Distance 2.20 to 29 Seats 3.More than Vz 4.Full No Standees 3.Long Distance A/C 3.30 to 39 Seats 5.Comfortably - Standing 4.0ver 40 Seats 6. Capacity Standing 7.Overflow Capacity

1. Peoplised 1 .Normal 1 .Below 20 Seats 1 Empty 2.Less than V% 2. Private 2.Long Distance 2.20 to 29 Seats 3.More than Vz 4.Full No Standees 3.Long Distance A/C 3.30 to 39 Seats 5.Comfortably - Standing 4.0ver 40 Seats 6. Capacity Standing 7. Overflow Capacity

1 .Peoplised 1 .Normal 1.Below 20 Seats 1 .Empty 2.Less than Vz 2Private 2.Long Distance 2.20 to 29 Seats 3.More than Vz 4.Full No Standees 3.Long Distance A/C 3.30 to 39 Seats 5.Comfortably- Standing 4. Over 40 Seats 6. Capacity Standing 7. Overflow Capacity

1 .Peoplised 1 Normal 1.Below 20 Seats 1 .Empty 2.Less than Vz 2.Private 2.Long Distance 2.20 to 29 Seats 3.More than Vz 4.Full No Standees 3.Long Distance A/C 3.30 to 39 Seats 5.Comfortably - Standing 4.0ver 40 Seats 6.Capacity Standing 7. Overflow Capacity V

ANNEXURE E

O - D SURVEY DATA OF PASSENGER VEHICLES

LOCATION :- 13 GETABE

VEHICLE PLACE AT PLACE AT DESIGNATION TOTAL

TYPE ORIGIN Homel Wot*. 2 School 3 Bustnea 4 Personal 5

1 1 HOME 1 2 1 1 7 12

Motor 2 WORK 12 12

Bicycle 3 SCHOOL . . .

4 BUSINESS 3 - - 1 1 5

5 PERSONAL 2 1 3 6

6 2 1 3 23 35 2

Three 1 HOME - 2 - - 1 3

•WTTRFT.FR 2 WORK 1 - 1 7 9

3 SCHOOL 2 1 2 5

4 BUSINESS . 1 1

5 PERSONAL - - - - . .

3 3 0 1 11 18 3 Car/Van 1 HOME 9 12 6 10 37 Jeep 2 WORK 13 4 - - 34 51 3 SCHOOL 2 5 18 27

4 BUSINESS 11 - - - 3 14

J PERSONAL 4 2 1 2 4 13

30 15 15 13 69 142

6 Non-Route 1 HOME - - - - Bus 2 WORK 1 - 2 3 3 SCHOOL - - - 2 2 4 BUSINESS - - - - -

5 PERSONAL - - - - -

0 1 0 0 4 5

SUMMARY

TO

H W S B P TOTAL

H 1 13 13 7 18 52 W 14 5 - 1 53 73 S 4 1 2 5 23 35 B 14 - 1 6 21 P 6 2 1 3 7 19 TOTAL 39 21 16 17 107 200 O - D SURVEY DATA OF PASSENGER VEHICLES

LOCATION :- 8 TENNEKUMBURA

VEHICLE PLACE AT PLACE AT DESIGNATION TOTAL TYPE ORIGIN Home 1 Work 2 School 3 Business') Personal S

1 1 HOME 8 7 . 1 2 18

Motor 2 WORK 5 8 4 8 25

Bicycle 3 SCHOOL 1 1 2 2 6

4 BUSINESS . .

5 PERSONAL 14 16 6 1 _, 12 49

2

Three 1 HOME 1 4 2 7

WHFFLFR 2 WORK 3 3

3 SCHOOL 2 3 4 9

4 BUSINESS 1 1 2

5 PERSONAL 1 1

1 10 1 4 6 22

Car/ Van 1 HOME 4 6 2 1 2 15

Jeep 2 WORK 5 5 3 13

3 SCHOOL 4 4 1 3 7 19

4 BUSINESS 4 1 12 22

5 PERSONAL 3 1 . 3 7

21 20 4 4 27 76

SUMMARY TO H W S B P TOTAL H 13 17 2 2 6 40 W 10 16 4 - 11 41 S 5 7 3 6 13 34 B 5 5 1 1 12 24 P 3 1 1 - 3 8 TOTAL 36 46 11 9 45 147 O - D SURVEY DATA OF PASSENGER VEHICLES

LOCATION:- 9 LEWELLA BRIDGE VEHICLE PLACE AT PLACE AT DESIGNATION TOTAL TYPE ORIGIN Homel Wort 2 SehootS Badness 4 Personal 5 1 1 HOME - 3 1 2 2 8

Motor 2 WORK 1 3 1 1 6 12

Bicycle 3 SCHOOL - 3 3

4 BUSINESS -

5 PERSONAL - 1 6 2 3 11 23 2

Three 1 HOME .

WHEELER 2 WORK 1 2 3

3 SCHOOL - -

4 BUSINESS - .

5 PERSONAL 0 1 0 0 2 3

3

Car /Van 1 HOME 2 1 3 6

Jeep 2 WORK 4 6 20 30 3 SCHOOL - 1 - 1 2 4 4 BUSINESS - - . . .

5 PERSONAL 6 12 11 29 0 13 19 1 36 69

5

Non -Route 1 HOME -

Bus 2 WORK

3 SCHOOL -

4 BUSINESS - _

5 PERSONAL - - 1 1

0 0 1 0 0 1

SUMMARY TO

H w S B p TOTAL H - 5 2 2 5 14 W 1 8 7 1 28 45 S - 1 1 5 7 B - - . - - 0 P - 6 13 11 30 TOTAL 1 20 22 4 49 96 O - D SURVEY DATA OF PASSENGER VEHICLES

LOCATION:-11 KATUGASTOTA VEHICLE PLACE AT PLACE AT DESIGNATION TOTAL TYPE ORIGIN Home I Wotk2 School J Business 4 Personal 5

1 1 HOME 11 6 1 2 20

Motor 2 WORK 4 1 2 7 Bicycle 3 SCHOOL - -

4 BUSINESS -

5 PERSONAL

15 7 0 1 4 27 2

Three 1 HOME 7 . 4 1 12

WHEELER 2 WORK 6 5 2 13

3 SCHOOL 8 - 4 12

4 BUSINESS 1 - - 1 2

5 PERSONAL . . .

22 5 * 0 6 6 39 3

Car/ Van 1 HOME 17 2 2 1 3 25

Jeep 2 WORK 29 3 2 9 43

3 SCHOOL 12 1 1 3 17

4 BUSINESS 10 1 . 11

5 PERSONAL 6 - . - 1 7

74 6 4 3 16 103 4

Non -Route 1 HOME 1 1

Bus 2 WORK

3 SCHOOL 4 BUSINESS -

5 PERSONAL 1 0 0 0 0 1

SUMMARY TO H W S B P TOTAL H 36 8 2 6 6 58 W 39 9 - 4 11 63 S 20 1 1 . 7 29 B 11 - 1 1 13 P 6 - - 1 7 TOTAL 112 18 4 10 26 170 O - D SURVEY DATA OF PASSENGER VEHICLES

LOCATION :- 12 HEERASSAGALA Jn

VEHICLE PLACE AT PLACE AT DESIGNATION TOTAL TYPE ORIGIN Home 1 Work 2 School 3 Business 4 Personal S

1 1 HOME 22 9 1 1 33

Motor 2 WORK 7 4 • - 4 15 Bicycle 3 SCHOOL 1 - • - - 1 4 BUSINESS . - . 5 PERSONAL - - - - -

30 13 0 1 5 49 2

Three 1 HOME 7 . 20 1 28

WHEELER 2 WORK 2 1 - 4 2 9

3 SCHOOL 2 3 1 2 2 10

4 BUSINESS 1 - 1

5 PERSONAL 1 1

13 4 1 26 5 49

3

Car/ Van 1 HOME 9 3 3 1 16

Jeep 2 WORK 12 9 3 24

3 SCHOOL 14 2 1 5 22

4 BUSINESS 10 1 . 1 12

5 PERSONAL 11 . 1 3 15

56 15 0 8 10 90 5

Non -Route 1 HOME 6 6

Bus 2 WORK

3 SCHOOL _

4 BUSINESS

5 PERSONAL - _

6 0 0 0 0 6 SUMMARY TO H W S B P TOTAL H 44 12 - 24 3 83 W 21 14 7 6 48 S 17 5 1 3 7 33 B 11 1 - 1 13 P 12 - 1 3 16 TOTAL 105 32 1 35 20 193 V <

O - D SURVEY DATA OF PASSENGER VEHICLES LOCATION :- 7 AMPITIYA Rd

VEHICLE PLACE AT PLACE AT DESIGNATION TOTAL TYPE ORIGIN Home 1 Wot*. 2 School 3 Business 4 Personal 5

• 1 1 HOME 4 - 3 7

Motor 2 WORK 1 1 - 2 4

Bicvcie 3 SCHOOL 1 1

4 BUSINESS

5 PERSONAL 1 6 0 0 5 11

2

Three 1 HOME 1 . 2 3

WHEELER 2 WORK . 4 3 4 11

3 SCHOOL 1 1 1 1 4

4 BUSINESS . -

5 PERSONAL -

1 6 0 4 7 18 3

Car / Van 1 HOME . 5 . . 6 11

Jeep 2 WORK 1 4 1 1 14 21

3 SCHOOL 2 4 3 1 10 20

4 BUSINESS 1 1 3 5

5 PERSONAL 1 3 - . 4 5 17 4 2 33 61

6

Non -Route 1 HOME - -

Bus 2 WORK 2 1 3 3 SCHOOL -

4 BUSINESS

5 PERSONAL - _ 0 2 0 1 0 3

SUMMARY TO H w S B P TOTAL H 9 - 11 20 W 2 11 1 5 20 39 S 3 6 3 2 11 25 B 1 1 - • 3 5 P 1 3 • - 4 TOTAL 7 30 4 7 45 93 SUMMARY

PLACE AT ORIGIN AMPITTYA Rd TENNEKUMBURA LEWELLA Bridge KATUGASTOTA HEERESSAGALA Jn GETABE TOTAL

HOME 20 40 14 58 83 52 267

WORK 39 41 45 63 48 73 309

SCHOOL 25 34 7 29 33 35 163

BUSINESS 5 24 0 13 13 21 76

PERSONAL 4 8 30 7 16 19 84

TOTAL 93 147 96 170 193 200 899

LOCATIONS HOME WORK SCHOOL BUSINESS PERSONAL TOTAL

AMPITTYA Rd 7 30 4 7 45 93

TENNEKUMBURA 36 46 11 9 45 147

LEWELLA Rd 1 20 22 4 49 96

KATUGASTOTA 112 18 4 10 26 170

HEERESSAGALA Jn 105 32 1 35 20 193

GETABE 39 21 16 17 107 200

TOTAL 300 167 58 82 292 899 ANNEXURE F

Heerasagala

Delivery Truck Container Tractor Total Van Total No. of vehicles 11 128 1 5 145

Occupancy 1 7 1 9 6 69 1 76 4 45 1 2 52 3 3 4 1 5

Commodity type 2 3 10 13 3 2 3 5 4 1 1 5 9 9 6 1 1 8 1 1 9 2 2 10 4 1 5 11 1 1 12 1 3 4 13 1 2 3 14 2 2 4 15 2 2 16 1 1 17 59 1 60 18 1 1 2 19 6 6 20 14 • 3 17

Ampitiya

Delivery Truck Container Tractor Total Van Total No. of vehicles 25 81 106

Occupancy 1 3 4 11 48 59 12 22 34 1 3 4 5 5

Commodity type 1 1 1 2 10 11 21 3 1 2 3 5 2 9 11 6 1 1 9 3 10 1 1 11 1 3 4 12 5 5 13 1 4 5 14 7 5 12 15 1 9 10 17 13 13 18 2 2 19 3 3 20 11 11 Terniekumbura

Delivery Truck Container Tractor Total Van Total No. of vehicles 11 64 1 76

Occupancy 1 14 1 16 4 45 49 5 5 1 1 1 4 5

Commodity type 2 6 15 1 22 3 1 1 2 4 4 4 5 2 2 7 1 1 10 3 3 12 2 2 13 1 1 14 3 10 13 16 1 7 8 17 15 15 18 4 4 19 3 3 20 10 10

Katugastota

Delivery Truck Container Tractor Total Van Total No. of vehicles 13 86 1 3 103

Occupancy 3 11 14 6 46 1 1 54 4 22 2 28 6 6 1 1

Commodity type 2 4 9 13 3 1 4 5 4 1 4 5 5 1 1 6 5 5 7 1 1 8 1 1 10 1 1 2 12 8 8 13 3 3 14 5 14 1 20 15 1 1 16 4 4 17 24 24 19 3 3 20 1 6 1 2 10 Lewella

Delivery Truck Container Tractor Total Van Total No.of vehicles 8 39 1 2 50

Occupancy 5 5 5 17 2 24 2 11 13 1 1 2 5 1 6

Commodity type 2 5 2 7 5 1 1 7 s 5 9 2 2 11 1 1 12 1 2 3 15 1 1 16 1 1 17 14 1 15 19 1 1 20 12 12

Getambe

Delivery Truck Container Tractor Total Van Total No. of vehicles 33 132 3 168

Occupancy 1 8 9 16 82 1 99 14 40 2 56 1 1 2 1 1 2

Commodity type 1 1 2 12 18 30 4 1 1 5 3 4 7 6 1 1 7 1 1 2 9 1 1 10 5 5 II 1 2 3 12 5 5 13 4 8 1 13 14 8 10 18 15 1 1 16 1 1 17 1 58 59 19 2 2 20 13 13 ANNEXURE G

Serial Name Of School No. of Students No. of Teachers No 01. 3785 164 02. Senkadagala College 940 61 03. Mahamaya College 4381 176 04. Hillwood College 1786 05. Gothami (Gregary) B.V 1220 51 06. Rasingdevi V. 267 28 07. Sylvester's College 3838 167 08. Trinity College 3050 90 09. Badi-ud-een College 1869 97 10. Thakshila Vidyalaya 142 24 11. Kalaimagal Vidyalaya 548 27 12. Vidyartha College 2661 121 13. St Anthony's College 2518 124 14. St Anthony's Girls' College 3351 154 15. Sri Sumangala Vidyalaya 2729 142 16. Hemamali Balika Vidyalaya 2009 117 17. Pushpadana Balika Vidyalaya 2397 102 18. Girls' High School College 3774 140 19. Vihara Maha Devi Vidyalaya 2329 113 20. Swarnamali Vidyalaya 3105 149 21. Dharmawickrama Vidyalaya 840 37 22. Seetha Devi Balika Vidyalaya 1983 95 23. Kingswood College 3529 142 24. /Mahanama M.V 1182 67 25. Sarasawi Uyana Vidyalaya 2336 91 26. Keppetipola Vidyalaya 120 19 27. Vivekananda College 296 19 28. Kandy Good Shepherd Convent 2000 60 29. Hindu Senior College / Kandy 1200 30

Total 60185 2607