Development of Microscopic Road Traffic Simulation Model by using Fuzzy Neural Network

Abstract

A microscopic road traffic simulation model is proposed in this study. The characteristic of the speed decision model is to be able to consider an individual drive characteristic by using the Car-Following model which uses fuzzy neural network. The route choice model is built by use of the logit model. The simulation model is checked at actual state. The TDM policy is examined for the Toyota city, and utility was shown. Moreover, the traffic capacity is analyzed the influence which the change in the driver's characteristic, and it showed that driver's influence was largely received.