Simulation And Evaluation For Urban Traffic Congestion

This paper is dedicated to the implementation of an evaluation tool in thefield of the urban transport service. The research method is to draw up a newtraffic service project: building a park and ride out of town. Firstly, identify thetraffic criteria regarding the users’perspectives, and make an investigation aroundpark and ride for the users, based on these survey data, to calculate the use rate ofthe new service, and classify the potential users. Secondly, evaluate the trafficimpacts of the new service, by the deviation’s evaluation between the trafficindicators of a new project based on the quantitative simulation data and the dataof initial state, such as traffic congestion, environmental factors, financial aspects,welfare losses and accidents. Finally, find an optimal solution for the decisionmaker.This work adopts simulator F_VIS_SIM (coded by JAVA language) toimplement the analysis and simulation of the traffic service data, and uses plentyof algorithm, methodology and formula, to modify and extend this simulator.Where, Taguchi algorithm is used to get all the scenarios through the given surveydata, and analyze to find the robust solution in terms of the predefined criteria.Direct clustering algorithm is adopted to classify the users according to theirperceptions. Fuzzy logic algorithm and Pignistic transformation are used tocalculate the use rate of the park and ride. COPERT III method contributes to thecalculation of CO2emissions and fuel consumption. In the end, combine otherlots of authoritative national or local statistical data, to implement the evaluationof the traffic indicators of the new service. This methodology is very significant inthe improvement of the mobility of the urban transportation.