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Research On The Drivers' Route Choice Behavior In Traffic Information Based On Game Theory

Posted on:2012-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:N ZhangFull Text:PDF
GTID:2132330335951184Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
With the increasing development of society and economy, the traffic congestion is gradually becoming one of the most serious social problems.The core of traffic congestion is contradiction between travel demand and supply. Congestion on particular time and space is an identical problem. For reducing traffic congestion, there are two aspects should be considered. Firstly, increase the supply of road resources by new road construction and origin road reconstruction. Secondly, reduce the press of road network by control travel demand (purchase restriction, traffic restriction and congestion pricing). However, the limitation of city space and the social resistance makes the two types of solution above difficult to fulfill. Meantime, although the traffic congestion is serious, there isn't all the road congestion at the same time. On the other words, there is still clear road exist. For solve this difficult problem, it is an acknowledged solution, which built a complete Traffic flow Guidance System to provide traffic information to travelers that can help them to make the right choice before trip or in trip. Essence of traffic guidance is to balance the attribution of the time-space resource of road network. Fundamental purpose is to maximize network efficiency and to achieve the system optimal or user optimal. Because the fulfillment of traffic guidance must by providing the dynamic, variety of traffic information to traveler, study on traveler behavior under traffic information providing is significant.This thesis base on the interaction between traffic guidance and drivers' route choice behavior, intend to establish a game analysis model and give a strategy pattern to traffic manager that what kind of information released to driver can promote acceptance of guiding information. Combine the feature of formulation of guidance strategy and route choice behavior; use the game analysis model to analysis the traveler behavior under traffic information providing. Meanwhile, established model quantified payoff of traveler's route choice behavior under guidance information. It is more important that propose an idea, which change the assumption of the game analysis model, compare player's payoff then discuss how to release guidance information to traveler can make more payoff. The idea has theoretical and practical significance to increasing network efficiency, optimal attribution of road resource; reduce user delay and carbon emissions.The thesis comprises of 5 chapters and their contents are as follows:Chapter One:Introduction. First, explain what and why to be investigated in the thesis. Point out the background of application of game analysis model on study of route choice behavior at home and abroad. After that, the main content and structure of the thesis is given.Chapter Two:First analysis the mechanism of drivers' behavior under traffic information; expand the classic theory of behavioristic psychology and analysis Driver's driving condition base on that expanded theory. Secondly, analysis the effect factor of driver behavior.Chapter Three:gives the introduction of game theory and presents the structure of simple network, basic assumption of the game analysis model, then describes traveler's behavior under guidance information in game theory based model.Chapter Four:discussed the variation of basic assumption and model parameter, analysis each player's payoff and state of equilibrium then provides guidance strategy for traffic manager.Chapter Five:Conclusions and the future work. The thesis is summed up and the research process and the main contents of the thesis are looked back. At the same time, point out the innovation and the existing problems, as well as the problems that need to further study in the future.
Keywords/Search Tags:intelligent transportation systems, game model, nash equilibrium, driver behavior, guidance strategy
PDF Full Text Request
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