Simulation-based Evaluation Of Route Choice Algorithms And Car-to-Car In ITS

Intelligent Transportation System (ITS) is a real time, exact, high efficient and integrative transportation management system. People apply advanced information technology, data communication and transportation technology, electron control technology, sensor technology and computer technology to the whole transportation system, which can play an important role greatly. At the present time, the research and application of ITS is being greatly developed in the world. Just like other traffic projects, the implementation of ITS projects need pre-evaluation. However there are some differences between ITS and other traffic projects, because of ITS projects' novelty, it's very difficult to find ITS projects which were built before to offer evaluation experience, so how to evaluate and forecast the impact of ITS projects is becoming a big difficult problem which programming and decision-making person think must be solved immediately.The evaluation of ITS is a wide, difficult and complicated problem. Currently, there aren't any complete ITS evaluation models and methods just as the traditional transportation projects evaluation. Though there are many difficulties in how to choose the methods of ITS evaluation, the work of ITS evaluation is still being developed continually. At present, there are two types of ITS evaluation methods, one is the field tests, and the other is simulation models.This thesis takes route choice algorithms(the pivotal technology of route guidance system, which is one of the cores of ITS)and Car-to-Car equipment(which is just risen in the world latest, one of its functions is to offer the vehicles the real time, high efficiency and high cost performance route which is just between the current position and the destination by exchanging the information of traffic)as the evaluation objects, by building our traffic simulation platform, we design simulation experiments and simulate the application scene of them, then we research the whole impact result of each one to make out the correct evaluation.The main work of this thesis:(1) We first found traffic simulation platform. Thinking of the different characteristics of the urban road, We simplify the design of road network and express some of the real road special topological relations by the weighted and directed graph generally.(2) We analyze several important routing algorithm principles and characteristics.Then we simulate the urban road network by traffic simulation platform, and simulate the scenes of vehicles' using different routing choice algorithms. We design the simulation experiments, and then we compare and analyze the impact results of experimental results(3) On the basis of urban road network, we add the Car-to-Car equipments to the network(Though which, vehicles can get the real time and dynamic route travel time and make more efficient route choice by exchanging the information).In the simulation platform, we generate a certain number of vehicles which are equipped with Car-to-Car, after the experiments. By changing the market penetration of Car-to-Car, we research its impact to the entire network traffic. Finally, we examine the difference between two types vehicles' average travel speed when there are some emergency incidents which are happened in some routes. The experiment results show that the equipped cars' average speed is higher than those unequipped cars, and when the Car-to-Car is added, the whole average travel speed of vehicles has risen markedly, the average travel time is significantly reduced. The results also show that the average speed of vehicles reaches the highest in a certain market penetration and that as the number of jam-packed road increases, there is little change of the equipped vehicles' speed, while the unequipped vehicles' speed decreased considerably.Though the traffic simulation platform can evaluate the ITS project, we need to choose better route choice algorithms and make the platform better, for instance, we choose K-algorithm and add turning restrict and green-red light policy to the platform to improve the practicability of the platform.