VISVESVARAYA TECHNOLOGICAL UNIVERSITY Electronics and Communication Engg. UNDER the GUIDANCE OF

Total Page:16

File Type:pdf, Size:1020Kb

VISVESVARAYA TECHNOLOGICAL UNIVERSITY Electronics and Communication Engg. UNDER the GUIDANCE OF VISVESVARAYA TECHNOLOGICAL UNIVERSITY Belgaum-590014, Karnataka PROJECT REPORT ON TRAFFIC LIGHT CONTROL SYSTEM FOR EMERGENCY VEHICLES AND AUTOMATIC DETECTION OF TRAFFIC SIGNAL VIOLATION Submitted in the partial fulfillment for the award of the degree of Bachelor of Engineering in Electronics and Communication Engg. By SANJAY. MS - (1NH11EC092) RABAB BASHEER - (1NH11EC074) RAKESH.R - (1NH11EC080) UNDER THE GUIDANCE OF Mr. RAM Mrs. Divya Sharma Lecturer, ECE Dept, NHCE Lecturer, ECE Dept, NHCE Department of Electronics & Communication Engineering, New Horizon College of Engineering, Bengaluru - 560103, Karnataka. 2015-16 NEW HORIZON COLLEGE OF ENGINEERING (Accredited by NBA, Permanently affiliated to VTU) Kadubisanahalli, Panathur Post, Outer Ring Road, Near Marathalli, Bengaluru-560103, Karnataka DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGG. CERTIFICATE This is to certify that the project work entitled TRAFFIC LIGHT CONTROL SYSTEM FOR EMERGENCY VEHICLES AND AUTOMATIC DETECTION OF TRAFFIC SIGNAL VIOLATION is a bonafide work carried out by SANJAY.M.S, RABAB BASHEER, RAKESH.R, bearing 1NH11EC092, 1NH11EC074, 1NH11EC080 in partial fulfillment for the award of degree of Bachelor of Engineering in Electronics & CommunicationEngg. of the Visvesvaraya Technological University, Belgaum during the academic year 2015 - 16. It is certified that all corrections / suggestions indicated for internal assessment has been incorporated in the project report deposited in the departmental library & in the main library. This project report has been approved as it satisfies the academic requirements in respect of project work prescribed for the Bachelor of Engineering Degree in ECE. …………………….. ……………………… ……………………... Guide HoD Principal Mr. RAM Dr. Sanjay Jain Dr. Manjunatha Names of the Students: (i) Sanjay.M.S (ii) Rabab Basheer (iii) Rakesh.R University Seat Numbers: (i) 1NH11EC092 (ii) 1NH11EC074 (iii) 1NH11EC080 External Viva / Orals Name of the internal / external examiner Signature with date 1…………………………… …………………… 2…………………………… …………………… Traffic light control for emergency vehicles & Automatic detection of signal violation ACKNOWLEDGEMENT First we are very thankful to our college New Horizon College of Engineering for providing us an opportunity to work on this project as part of our academics. This project would have not been possible without the guidance and help of several individuals, who in one way or another contributed and extended their valuable assistance in the preparation and completion of the project. We express our gratitude to Dr MANJUNATHA (Principal), Dr SANJAY JAIN (HoD) who stood by us in all our endeavors and willingly permitted us to work on this project. We express our outmost gratitude to our beloved guide Mr RAM and Mrs DIVYA SHARMA. (Senior Asst. Professor) Dept of ECE, for her invaluable support, suggestions, precious advice and patient guidance. RABAB BASHEER RAKESH R SANJAY M.S Dept of ECE, NHCE Traffic light control for emergency vehicles & Automatic detection of signal violation CONTENTS CHAPTER TITLE PAGE 1.1 ABSTRACT 1 2.1 LITERATURE SURVEY 2 2.1.1 OVWERVIEW 2 2.1.2 CURRENT STUDY OF 2 TRAFFIC LIGHT 3.1 INTRODUCTION TO 5 MODULE 1 3.2 INTRODUCTION TO 6 MODULE 2 4.1 AIM OF PROJECT MODULE 1 8 4.2 AIM OF PROJECT MODULE 2 9 5.1 IMPLEMENTATION PLATFORM 10 6.1 HARDWARE DESCRIPTION 12 6.1.1 ARM BASED LPC2148 12 PROCESSOR 6.1.2 ZIGBEE TRANSCEIVER 13 6.1.3 RFID TAGS AND READERS 14 6.1.4 GSM 16 6.1.5 LED LIGHTS 17 6.1.6 5 DIFFERENT KEYS 17 6.2 SOFTWARE DESCRIPTION 17 6.2.1 KEIL VERSION 17 6.2.2 FLASH UTILITY 17 7.1 IMPLEMENTATION METHOD 18 FOR MODULE2 7.2 PRINCIPLE OF WORK 19 Dept of ECE, NHCE Traffic light control for emergency vehicles & Automatic detection of signal violation 7.3 PRE REQUISITE CONDITIONS 19 7.4 BLOCK DIAGRAM OF AMBULANCE 20 PART 7.5 FLOW CHART FOR AMBULANCE 21 7.5.1 EXPLANATION OF FLOW CHART 22 7.6 INTERFACING TRAFFIC WITH LPC2148 23 7.6.1 ARM7 LPC2148 PRIMER BOARD 23 7.6.2 ARCHITECTURAL OVERVIEW 23 7.6.3 APPLICATIONS 24 7.6.4 INTERFACING TRAFFIC LIGHTS 25 7.6.5 SOURCE CODING 25 7.6.6 TESTING THE TRAFFIC LIGHT 25 CONTROLLER WITH LPC2148 7.6.7 PIN DIAGRAM 26 7.6.8 DESCRIPTION 27 7.6.9 PIN CONTROL MODULE 27 7.7 PIN FUNCTION SELECT REGISTER 28 VALUES 7.7.1 PIN CONFIGURATION FOR 29 CONNECTING SIGNAL TO PROCESSOR 8.1 IMPLEMENTATION PLATFORM 30 FOR MODULE 2 8.2 IMPLEMENTATION METHOD 32 FOR MODULE 2 8.3 PRINCIPLE OF WORKING 33 8.4 PRE REQUISITE CONDITIONS 33 8.5 PICTORIAL REPRESENTAION 35 8.6 BLOCK DIAGRAM OF SIGNAL PART 36 8.7 BLOCK DIAGRAM OF VEHICLE PART 37 Dept of ECE, NHCE Traffic light control for emergency vehicles & Automatic detection of signal violation 8.8 FLOW CHART FOR MODULE2 38 8.8.1 EXPLANATION OF FLOW CHART 39 8.9 CODING PART OF MODULE 2 40 9.1 APPLICATIONS 50 10.1 CONCLUSION 51 11.1 REFERENCES 52 Dept of ECE, NHCE Traffic light control for emergency vehicles & Automatic detection of signal violation LIST OF FIGURES FIG 3.1 Problems faced by algorithm FIG 3.2 Violation of traffic signal FIG 4.1 Traffic free path for ambulance FIG 4.2 Indication of red signal FIG 5.1 Block dgm of embedded system FIG 5.2 Block dgm of Microcontroller FIG 6.1.1 LPC2148 processor FIG 6.1.2 ZIGBEE transceiver FIG 6.1.3 RFID tags and readers FIG 6.1.4 Structure of GSM network FIG 7.4 Block dgm of ambulance part FIG 7.5 Flow chart for ambulance FIG 7.6.4 Connection of LEDs in traffic signal module FIG 7.6.7 Pin dgm of LPC2148 FIG 7.6.9 Pin control module FIG 7.7 Pin function select register values Dept of ECE, NHCE Traffic light control for emergency vehicles & Automatic detection of signal violation CHAPTER 1 1.1 ABSTRACT The Intelligence RF Traffic Light Control for Ambulance is a device that can allows an ambulance and emergency vehicles to pass through traffic light that remotely. So, it minimizes the number of accidents involving emergency vehicles nowadays during emergency case. The Radio Frequency (RF) transmitter and receiver circuit is the main circuit in the system. The RF transmitter circuit has the transmitter module and encoder to send the signal to the RF receiver circuit. The RF receiver circuit has a receiver module to receive the signal and decoder to convert the signal into original signal and send it to the output. The RF receiver circuit is combining with the traffic light circuit control by arm based LPC 2148 processor. Traffic lights play an imperative role in traffic management. Traffic lights play an important role in the traffic management. Existing Automatic Traffic Light Violation Detection System is based on the camera’s to detect the violator. This system has a number of limitations like blurry image due to motion , poor image resolution because the number plate is far away, poor lightening, different fonts . The proposed system improves the accuracy of Automatic Traffic Light Violation Detection system as well as helps to trace out the stolen vehicles using RFID. The real time implementation of both the modules, which are named as The traffic light control system for emergency vehicles Automatic detection of traffic signal violation is one of the ways in saving lives making the traffic system safe, driver friendly and convenient at the same time as well. Dept of ECE, NHCE 1 Traffic light control for emergency vehicles & Automatic detection of signal violation CHAPTER 2 2.1 LITERATURE SURVEY 2.1.1 Overview Literature survey is the most important step in development process. Before developing the tool it is necessary to determine the time factor, economy and company strength. Once these things are satisfied, then next steps is to determine which operating system and language can be used for developing the tool. Once the programmers start building the tool the programmers need lot of external support. This support can be obtained from senior programmers, from book or from websites. Before building the system the above consideration are taken into account for developing the proposed system. This chapter will explain the research related to the wireless communication system and how the knowledge can be manipulated to make use of “Intelligence RF Traffic Light Control for Ambulance”. Next, the basic information about component parts will be discussed briefly. This chapter increase deeper understanding about basic wireless communication system and several component parts are use according. 2.1.2 Current Study of Traffic Light Road signs in Malaysia are standardized road signs similar to those used in other nations but with certain distinctions. Until the early 1980s, Malaysia closely followed Australian and Japanese practice in road sign design, with diamond-shaped warning signs and circular restrictive signs to regulate traffic. Signs usually use the series fonts (Highway Gothic) typeface also used in the United States, Canada, and Australia, although some signs on recently completed expressways use transport heavy Malaysian traffic signs use Malay, the official and national language in Malaysia. The use of traffic lights to control the movement of traffic differs regionally and internationally in certain respects. In Malaysia, flashing red is the equivalent of a stop sign while flashing yellow indicates that the opposing traffic may enter the intersection at any time, but drivers should exercise Dept of ECE, NHCE 2 Traffic light control for emergency vehicles & Automatic detection of signal violation caution. This may be used when there is a malfunction with the signals, or late at night when there is little traffic. A single four-way flashing yellow light (with no red light above or green below) may be used at more major intersections on otherwise fast, low traffic rural roads (where full traffic lights or four-way stop signs may not be entirely appropriate, and static Stop/Yield signs may be ignored, obscured, or even stolen) as an advanced warning to slow down and proceed across with caution.
Recommended publications
  • Annual Report 2020 | Genting Plantations Berhad 04 Chairman’S Statement
    about GENTING PLANTATIONS OUR VISION We strive: To become a leader in the plantation industry. To embark aggressively onto value-added downstream manufacturing activities which are synergistic to our core business. To enhance return on the company land bank through property development activities. To adopt a market-driven and customer-oriented approach, with emphasis on product quality and diversity. To strengthen our competitive position by adopting new technologies and innovations. As people are the key to achieving the company’s vision, we are committed to develop our employees and create a highly motivating and rewarding environment for them. OUR CORE VALUES • HARDWORK • HONESTY • HARMONY • LOYALTY • COMPASSION CORPORATE PROFILE Genting Plantations, a subsidiary of Genting Berhad, commenced operations in 1980. It has a landbank of about 64,600 hectares in Malaysia and some 178,900 hectares (including the Plasma schemes) in Indonesia. It owns seven oil mills in Malaysia and five in Indonesia, with a total milling capacity of 665 metric tonnes per hour. In addition, our Group has ventured into the manufacturing of downstream palm-based products. Genting Plantations has also diversified into property development to unlock the value of its strategically- located landbank and has invested significantly in biotechnology in a major effort to apply genomics- based solutions to increase crop productivity and sustainability. www.gentingplantations.com CONTENTS FINANCIAL STATEMENTS: 02 Chairman’s Statement/ 72 Statements of Profit or Loss Penyata
    [Show full text]
  • HLPE Report # 12
    HLPE REPORT 12 Nutrition and food systems A report by The High Level Panel of Experts on Food Security and Nutrition September 2017 HLPE High Level Panel of Experts HLPE Reports series #1 Price volatility and food security (2011) #2 Land tenure and international investments in agriculture (2011) #3 Food security and climate change (2012) #4 Social protection for food security (2012) #5 Biofuels and food security (2013) #6 Investing in smallholder agriculture for food security (2013) #7 Sustainable fisheries and aquaculture for food security and nutrition (2014) #8 Food losses and waste in the context of sustainable food systems (2014) #9 Water for food security and nutrition (2015) #10 Sustainable agricultural development for food security and nutrition: what roles for livestock? (2016) #11 Sustainable forestry for food security and nutrition (2017) #12 Nutrition and food systems (2017) All HLPE reports are available at www.fao.org/cfs/cfs-hlpe 2 HLPE Steering Committee members (September 2017) Patrick Caron (Chair) Carol Kalafatic (Vice-Chair) Amadou Allahoury Louise Fresco Eileen Kennedy Muhammad Azeem Khan Bernardo Kliksberg Fangquan Mei Sophia Murphy Mohammad Saeid Noori Naeini Michel Pimbert Juan Ángel Rivera Dommarco Magdalena Sepúlveda Martin Yemefack Rami Zurayk HLPE Project Team members Jessica Fanzo (Team Leader) Mandana Arabi Barbara Burlingame Lawrence Haddad Simon Kimenju Gregory Miller Fengying Nie Elisabetta Recine Lluís Serra-Majem Dipa Sinha Coordinator of the HLPE Nathanaël Pingault This report by the High Level Panel of Experts on Food Security and Nutrition (HLPE) has been approved by the HLPE Steering Committee. The views expressed do not necessarily reflect the official views of the Committee on World Food Security, of its members, participants, or of the Secretariat.
    [Show full text]
  • Cranfield University Nur Khairiel Anuar the Impact Of
    CRANFIELD UNIVERSITY NUR KHAIRIEL ANUAR THE IMPACT OF AIRPORT ROAD WAYFINDING DESIGN ON SENIOR DRIVER BEHAVIOUR CENTRE FOR AIR TRANSPORT MANAGEMENT SCHOOL OF AEROSPACE, TRANSPORT AND MANUFACTURING PhD in Transport Systems PhD Academic Year: 2015 - 2016 Supervisors: Dr Romano Pagliari / Mr Richard Moxon August 2016 CRANFIELD UNIVERSITY CENTRE FOR AIR TRANSPORT MANAGEMENT SCHOOL OF AEROSPACE, TRANSPORT AND MANUFACTURING PhD in Transport Systems PhD Academic Year 2015 - 2016 NUR KHAIRIEL ANUAR The Impact of Airport Road Wayfinding Design on Senior Driver Behaviour Supervisors: Dr Romano Pagliari / Mr Richard Moxon August 2016 This thesis is submitted in partial fulfilment of the requirements for the degree of PhD in Transport Systems © Cranfield University 2016. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright owner. ABSTRACT Airport road access wayfinding refers to a process in which a driver makes a decision to navigate using information support systems in order to arrive to airport successfully. The purpose of this research is to evaluate senior drivers’ behaviour of alternative airport road access designs. In order to evaluate the impact of wayfinding, the combination of simulated driving and completion of a questionnaire were performed. Quantitative data was acquired to give significant results justifying the research outcomes and allow non-biased interpretation of the research results. It represents the process within the development of the methodology and the concept of airport road access design and driving behaviour. Wayfinding complexity varied due to differing levels of road-side furniture. The simulated driving parameters measured were driving mistakes and performances of senior drivers.
    [Show full text]
  • Guidelines for Geoconservation in Protected and Conserved Areas
    Guidelines for geoconservation in protected and conserved areas Guidelines for geoconservation in protected Guidelines for geoconservation in protected and conserved areas Crofts, R., Gordon, J.E., Brilha, J., Gray, M., Gunn, J., Larwood, J., Santucci, V.L., Tormey, D., and Worboys, G.L. Craig Groves, Series Editor INTERNATIONAL UNION FOR CONSERVATION OF NATURE WORLD HEADQUARTERS Rue Mauverney 28 1196 Gland, Switzerland Tel +41 22 999 0000 Fax +41 22 999 0002 www.iucn.org Best Practice Protected Area Guidelines Series No. 31 IUCN IUCN WCPA’s BEST PRACTICE PROTECTED AREA GUIDELINES SERIES IUCN-WCPA’s Best Practice Protected Area Guidelines are the world’s authoritative resource for protected area managers. Involving collaboration among specialist practitioners dedicated to supporting better implementation of ideas in the field, the Guidelines distil learning and advice drawn from across IUCN. Applied in the field, they build institutional and individual capacity to manage protected area systems effectively, equitably and sustainably, and to cope with the myriad of challenges faced in practice. The Guidelines also assist national governments, protected area agencies, non-governmental organisations, communities and private sector partners in meeting their commitments and goals, and especially the Convention on Biological Diversity’s Programme of Work on Protected Areas. A full set of guidelines is available at: www.iucn.org/pa_guidelines Complementary resources are available at: www.cbd.int/protected/tools/ Contribute to developing capacity for a Protected Planet at: www.protectedplanet.net/ IUCN PROTECTED AREA DEFINITION, MANAGEMENT CATEGORIES AND GOVERNANCE TYPES IUCN defines a protected area as: A clearly defined geographical space, recognised, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values.
    [Show full text]
  • LIM CHIN HUEY a Report Submitted in Partial Fulfilment of the Requirements
    ROADSIGN DETECTION AND RECOGNITION (RSDR) LIM CHIN HUEY A report submitted in partial fulfilment of the requirements for the award of the degree of Bachelor of Computer Science (Software Engineering) Faculty of Computer Systems & Software Engineering University Malaysia Pahang (UMP) MAY 2010 V ABSTRACT Road-sign Detection and Recognition via Video (RSDR) is a system that able to detect and recognize a road-sign on a motion video. This is due to the rapid changes of the technologies, more and more technologies recognize are able to provide high performance for people to carry their daily task. In RSDR, it is a system help the driver to recognize the shape of road-sign while the driving task is carried. Before this, most of the processing in digital image is based on still image. The limitation on still images is unable to perform effectively then motion video. Motion video can be processed directly in real-time by capturing the data to be examine, while for the still image the captured data is not in real-time thus the information cannot be delivered in short time. This RSDR will be developed according to methodology of waterfall models and it weakness is overcome by applied the incremental and iterative development process. Because with the well defined of the requirement on RSDR, the waterfall model is chooses to produce a high quality system. In case, there is some of the uncountable event occur required changes on development process the support of incremental and iterative development process can be help to overcome this problem arise. The method of template matching is used to recognize the road-sign.
    [Show full text]
  • Real-Time Video Road Sign Detection and Tracking Using Image Processing and Autonomous Car
    International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12S2, October 2019 Real-Time Video Road Sign Detection and Tracking Using Image Processing and Autonomous Car F.A. Azis, P.S.G. Ponaseran, Zamani Md Sani, M.S.M. Aras, M. Nur Othman Abstract— Detection and monitoring of real-time road signs system also could act as driving assistance for tourist who depends are becoming today's study in the autonomous car industry. The on the road sign while traveling to another country. RSDT system number of car users in Malaysia risen every year as well as the will interpret the road sign for the drivers and so that the drivers rate of car crashes. Different types, shapes, and colour of road would not get confused. signs lead the driver to neglect them, and this attitude The majority of the existing system used the method of image contributing to a high rate of accidents. The purpose of this processing to detect and track the road signs. The image processing paper is to implement image processing using the real-time video took the input image such as video’s frame in the form of signal Road Sign Detection and Tracking (RSDT) with an autonomous processing. Video is an electronic technology that capture, record, car. The detection of road signs is carried out by using Video and process, store, and transmit scenes in motion. Video is used in this Image Processing technique control in Python by applying deep system to obtain a better visual appearance of the road sign and to learning process to detect an object in a video’s motion.
    [Show full text]
  • Chapter XI. Transport and Communications B. Road Traffic TI
    DOCUMENT INFORMATION FILE NAME : Ch_XI_B_20 VOLUME : VOL-1 CHAPTER : Chapter XI. Transport and Communications B. Road Traffic TITLE : 20. Convention on road signs and signals. Vienna, 8 November 1968 lit CONVENTION ON ROAD SIGNS AND SIGNALS CONVENTION SUR LA SIGNALISATION ROUTIERE KOHBEHUMfl 0 /lOPOMIblX 3HAKAX H CMPHAJ1AX CO N V EN CI O N SOBRE LA SENALIZACION VIAL CONVENTION ON ROAD SIGNS AND SIGNALS THE CONTRACTING PARTIES, RECOGNIZING that international uniformity of road signs* signals and symbols and of road markings is necessary in order to facilitate international road traffic and. to increase road safety, HAVE AGREED upon the following provisionss Chapter I GENERAL PROVISIONS Article 1 Definitions For the purpose of this Convention, the following expressions shall have the meanings hereby assigned to thems (a) The "domestic legislation" of a Contracting Party means the entire body of national or local laws and regulations in force in the territory of that Contracting Party! (b) "Built-up area" means an area with entries and exits specially signposted as such, or otherwise defined in domestic legislation; (c) "Road" means the entire surface of any way or street open to public traffic; (d) "Carriageway" means the part of a road normally used by vehicular traffic; a road may comprise several carriageways clearly separated from one another by, for example, a dividing strip or a difference of level; _ 1 - (e) "Lane" means any one of the longitudinal strips into which the carriageway is divisible, whether or not defined by longitudinal
    [Show full text]
  • Road Sign Recognition Using an Artificial Neural Network
    Article Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network Kh Tohidul Islam and Ram Gopal Raj * Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia; [email protected] * Correspondence: [email protected]; Tel.: +60-12-3070435 Academic Editor: Simon X. Yang Received: 19 December 2016; Accepted: 16 March 2017; Published: 13 April 2017 Abstract: Road sign recognition is a driver support function that can be used to notify and warn the driver by showing the restrictions that may be effective on the current stretch of road. Examples for such regulations are ‘traffic light ahead’ or ‘pedestrian crossing’ indications. The present investigation targets the recognition of Malaysian road and traffic signs in real-time. Real-time video is taken by a digital camera from a moving vehicle and real world road signs are then extracted using vision-only information. The system is based on two stages, one performs the detection and another one is for recognition. In the first stage, a hybrid color segmentation algorithm has been developed and tested. In the second stage, an introduced robust custom feature extraction method is used for the first time in a road sign recognition approach. Finally, a multilayer artificial neural network (ANN) has been created to recognize and interpret various road signs. It is robust because it has been tested on both standard and non-standard road signs with significant recognition accuracy. This proposed system achieved an average of 99.90% accuracy with 99.90% of sensitivity, 99.90% of specificity, 99.90% of f-measure, and 0.001 of false positive rate (FPR) with 0.3 s computational time.
    [Show full text]
  • Guidelines for Geoconservation in Protected and Conserved Areas
    Guidelines for geoconservation in protected and conserved areas Guidelines for geoconservation in protected Guidelines for geoconservation in protected and conserved areas Crofts, R., Gordon, J.E., Brilha, J., Gray, M., Gunn, J., Larwood, J., Santucci, V.L., Tormey, D., and Worboys, G.L. Craig Groves, Series Editor INTERNATIONAL UNION FOR CONSERVATION OF NATURE WORLD HEADQUARTERS Rue Mauverney 28 1196 Gland, Switzerland Tel +41 22 999 0000 Fax +41 22 999 0002 Developing capacity for a protected planet www.iucn.org Best Practice Protected Area Guidelines Series No. 31 IUCN IUCN WCPA’s BEST PRACTICE PROTECTED AREA GUIDELINES SERIES IUCN-WCPA’s Best Practice Protected Area Guidelines are the world’s authoritative resource for protected area managers. Involving collaboration among specialist practitioners dedicated to supporting better implementation of ideas in the field, the Guidelines distil learning and advice drawn from across IUCN. Applied in the field, they build institutional and individual capacity to manage protected area systems effectively, equitably and sustainably, and to cope with the myriad of challenges faced in practice. The Guidelines also assist national governments, protected area agencies, non-governmental organisations, communities and private sector partners in meeting their commitments and goals, and especially the Convention on Biological Diversity’s Programme of Work on Protected Areas. A full set of guidelines is available at: www.iucn.org/pa_guidelines Complementary resources are available at: www.cbd.int/protected/tools/ Contribute to developing capacity for a Protected Planet at: www.protectedplanet.net/ IUCN PROTECTED AREA DEFINITION, MANAGEMENT CATEGORIES AND GOVERNANCE TYPES IUCN defines a protected area as: A clearly defined geographical space, recognised, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values.
    [Show full text]
  • An Exploration of Cultural Needs for In-Vehicle Navigation Systems (IVNS)
    An exploration of cultural needs for in-vehicle navigation systems (IVNS) Yasmin Mohd Hasni, B.Sc.(Hons.), M.Env.Mgmt. School of Mechanical, Materials and Manufacturing, Faculty of Engineering, University of Nottingham Thesis submitted to the University of Nottingham for the degree of Doctor of Philosophy (PhD) December 2012 Abstract This thesis explores potential cultural needs appropriate to the design of in- vehicle navigation systems (IVNS). Such research is important given the increasing popularity of IVNS worldwide and the potential impact of their designs on increasing driver's satisfaction which leads towards safe driving environment. A review of the literature showed paucity in considering drivers' cultural values for navigational interfaces. The overall aim of the thesis was to explore characteristics of potentials driver's cultural needs for IVNS Four empirical studies are described in the thesis to address cultural issues in drivers' behaviour when engaging with IVNS. The exploration took a bottom- up approach, applying different methods and study designs in an effort to cater for potential cultural needs. A non-structured direction giving study, an online survey, a structured direction giving study and a scenario-based design study were used to explore for potential driver's cultural needs. The non-structured direction giving study and the online survey were baseline research aiming to explore driver's navigation behaviour and perception in basic conditions (between drivers and road environment). The non-structured direction giving study utilised participants from four nations, representing different cultural backgrounds; United Kingdom (UK), Malaysia, China and Japan in UK environment. The online survey collected opinions from UK, Malaysia and Japan local drivers.
    [Show full text]
  • Malaysian Expressway System
    Malaysian Expressway System From Wikipedia, the free encyclopedia Malaysian expressway logo The Malaysian Expressway System (Malay: Sistem Lebuhraya Malaysia), which begins with the North- South Expressway (NSE), is currently in the process of being substantially developed. It was built by private companies under the supervision of the government highway authority, Malaysian Highway Authority (abbreviated as MHA; also referred to as Lembaga Lebuhraya Malaysia (LLM) in Malay). Contents [hide] 1 Overview o 1.1 AH2 border crossing dispute 2 History o 2.1 Interstate o 2.2 Greater Kuala Lumpur/Klang Valley o 2.3 Johor Bahru o 2.4 Penang o 2.5 East Malaysia 3 Expressway standards o 3.1 Expressways/Highways route number categories . 3.1.1 Expressway route numbers . 3.1.2 Federal route numbers 4 Expressway monitoring and maintenance o 4.1 Monitoring o 4.2 Maintenance o 4.3 Traffic management 5 Advertising services in expressways 6 Toll system o 6.1 Multi Lane Free Flow (MLFF) o 6.2 Toll rebate o 6.3 Malaysian expressway toll rate classes . 6.3.1 Toll rate classes for every expressway in Malaysia . 6.3.2 Toll rate classes for Penang Bridge . 6.3.3 Toll rate classes for SMART Tunnel 7 Facilities on Malaysian expressways 8 Types of expressway interchanges in Malaysia 9 Safety o 9.1 Speed limits o 9.2 Types of vehicles not allowed to enter an expressway . 9.2.1 PLUS expressway networks and East Coast Expressway (ECE) . 9.2.2 Ampang-Kuala Lumpur Elevated Highway (AKLEH) . 9.2.3 Maju Expressway (MEX) (Kuala Lumpur-Putrajaya Expressway (KLPE)) .
    [Show full text]
  • Identify System Architecture Directions
    KAJIAN PELAN INDUK SISTEM PENGANGKUTAN PINTAR Development of ITS System Architecture for Malaysia Technical Note No. 1 July 2006 Formulation of Design Framework for the ITS System Architecture for Malaysia Development of ITS System Architecture for Malaysia Technical Note No. 1 Formulation of Design Framework for the ITS System Architecture for Malaysia TABLE OF CONTENTS 1. INTRODUCTION...........................................................................................................1 2. MALAYSIA LOCAL CONDITIONS ..............................................................................3 2.1 Background......................................................................................................3 2.2 Electronic Toll Collection System.....................................................................3 2.3 Urban Traffic Control........................................................................................4 2.4 Public Transport System..................................................................................5 2.5 Intelligent City Management ............................................................................9 3. COMMUNICATIONS TECHNOLOGIES REVIEW .....................................................11 3.1 Background....................................................................................................11 3.2 Wireless Communications .............................................................................11 3.2.1 Dedicated Short Range Communications.........................................11
    [Show full text]