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Fuzzy Logic Based Route Choice Behaviour Modelling

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Fuzzy Logic Based Route Choice Behaviour Modelling International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 Fuzzy Logic Based Route Choice Behaviour Modelling Shahana H1, Jisha Akkara2 1PG Scholar, Dept.of Civil Engineering, Jyothi Engineering College, Kerala, India 2Assistant Professor, Dept. of Civil Engineering, Jyothi Engineering College, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Travelling is one of the most important activities make about their travel needs. Within this broadarea lie people engage in to serve various purposes of everyday life. various sub-categories like study of mode choice, destination Route choice modelling is essential in terms of transportation choice, route choice, and so forth. The interplay of these planning which requires predicting future traffic conditions on different choice dimensions is what makes the analysis of transportation networks and understanding travellers travel behaviour so complex and yet interesting. Over the response and adaptation to sources of information. The main years, travel behaviour researchers have worked towards objectives of the study is to predict the route choices for the the development of increasingly sophisticated quantitative thrissur city and to determine the significant factors. These models, often used in conjunction with qualitative perceptions and preferences based on route characteristics are approaches, which could offer us powerful tools for helping then tied to travellers personal attributes such as income, age, us to understand those complexities. Although, gender, and other socio-economic characteristics. Household understanding route choice behaviour is only a dimension to survey is carried out in Thrissur city for collecting travellers overall travel behaviour analysis, it does provide very useful information. Survey is carried out in the 52 corporation ward insights into travellers decision making process which can of Thrissur City. The collected data is analysed and the highest eventually be tied back to broad travel behavior assessment. number of trip attraction (destination) and production Route choice prediction is also essential in terms of (origin) zones are identified and the origins and destination is transportation planning which requires predicting future fixed. Fuzzy Logic concept is used to model the uncertain route traffic conditions on transportation networks and choice behaviour.From the Fuzzy Inference System, the result understanding travellers response and adaptation to sources obtained are for Punkunnam the mostly choosen routes are of information. Thrissur Kuttipuram Road and Kodungallur Shornur Road, for Nedupuzha the mostly choosen routes are Kodungallur It involves evaluating travellers perception of route Shornur/SWaraj round and Kodungallur Shornur Road,for characteristics that include travel time, cost, distance, safety, Mannuthy the mostly choosen routes are Thrissur Palakkad reliability and so. These perceptions and preferences based Road and Thrissur Mannamangalam Road, for Kuttumuck the on route characteristics are then tied to travellers personal mostly choosen route.In this study factors affecting route attributes such as income, age, gender, and other socio- choice between alternate routes were identified using Surface economic characteristics. Route choice prediction or Plots.They are Travel Cost, Distance, travel time between development depends on human behaviour, travellers Origin and Destination and Type of Employment. imperfect knowledge about the transportation network composition, and the uncertainty and heterogeneity Key Words: Predicting; Socio-economic;Fuzzy Logic; associated with travellers perceptions about route Fuzzy Inference System characteristics. 1.INTRODUCTION Travellers decision to take particular routes depends on the utilities associated with these routes. In Thrissur City , the The process of allocating given set of trip interchanges to the nature of transportation system as well as availability of specifed transportation system is usually referred to as mode, comfort of the mode, road surface conditions etc. are traffic assignment. The fundamental aim of the traffic different. No study has been done by using Fuzzy Logic to assignment process is to reproduce on the transportation address this issue of how people choose their route in system, the pattern of vehicular movements which would be Thrissur, more precisely in Thrissur city. In this thesis efforts observed when the travel demand represented by the trip will be given to predict the route choices using Fuzzy Logic matrix, or matrices, to be assigned is satisfied. The traffic for one origin and one destination point in the context of assignment or route assignment problem is one of the Thrissur City. critical steps in travel demand forecasting process. It is used to forecast traffic flow of links in a network, given the traffic 2. LITERATURE REVIEW volumes between the origin destination nodes and the characteristics of the links. Carlo Giocomo[1] Trip generation is the first step in the conventional four-step transportation forecasting process The study of travel behaviour is a broad topic that provides (followed by trip distribution, mode choice, and route insights into the choices that individuals and households assignment),widely used for forecasting travel demands. It © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1232 International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 predicts the number of trips originating in or destined for a Travel Time, Waiting Time, Comfort level, Safety Level, particular traffic analysis zone. Typically, trip generation Security Level and Regularity Level (Nandita Basu et.al.)[8]. analysis focuses on residences, and residential trip generation is thought of as a function of the social and 3. STUDY OBJECTIVES economic attributes of households. At the level of the traffic analysis zone, residential land uses "produce" or generate The objectives of the project are : To Predict the Route trips. Traffic analysis zones are also destinations of trips, trip choices for Thrissur City using Fuzzy Logic and to identify attractors.The analysis of attractors focuses on the significant parameters. nonresidential land uses. 4. STUDY METHODOLOGY Modeling of human choice mechanism has been a topic of intense discussion in the transportation community for many years. In most choice situations, the decisionmaker The steps involved in the methodology of the study are (traveler) also experiences uncertainty because of the lack of presented in Figure 1 and each step is explained as below. complete information on the choices. In the traditional modeling framework, the uncertainty of the analyst and that of the decision-maker are both embedded in the same random term and not clearly separated (Mauro et.al.)[2], travellers behavioural characteristics in the day-to-day route choice are considered by forgetting previous travel times, risk attitude, habit effect, travellers amount of attention on the route choice being made, perception of actual travel time, etc. Zhengbing [3]. Route choice behavior depends on travel cost. Travel time, traffic safety, comfort, habits and socioeconomic and demographic characteristics of which travel time is generally the key factor of all. Overall approach for the route choice is to evaluate costs of each route and to choose the route with lowest travel cost(Chaun et.al.)[4]. Primary paramaters while making a choice between an origin and destination are travel time, traffic safety, cost (fuel), traffic signs, jam and queing, road type, landscape, road construction and habitual Fig – 1: Methodology effects. Cost is generally proportional with travel time. Traffic safety, travel time, congestion and environmental effects were the main variables considered in the study 4.1 Formulation of Objectives (Yetis sazi et.al.,)[5]. The choice of a particular route is dynamic in character and depends on many factors. In fact, a First the aim and objectives are identified to set the goals driver chooses a route by considering inputs from different and scope of the study. The objectives have been set by set of information. For example, a drivers decision to select a recognizing the problems of the current practice in route particular route depends on the characteristics of the trips choice. Ideas regarding existing problems of the research (e.g. purpose, time, origin, destination, and mode) to be area are referred by studying different literature and journal made, the attributes of the alternative routes available and papers. the characteristics of the driver (Agata et.al.,)[6] and (Eran et.al.)[7]. 4.2 Study Area Selection The questionnaire was designed to extract information The study area is the Thrissur corporation area which regarding the particular route one user was using at the time include 52 wards. The total number of trip attractions and of conducting the survey and the reasons behind choosing trip production zones are identified and highest number of the particular route. The reasons or variables which trip attraction zones and trip production zones are identified significantly influence the individuals route choice behavior and fixed as origin and destinations. Thekkinkadu is fixed as were selected
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