Modeling and Numerical Simulation of Cellular Automation Traffic Flow Model

Abstract

In recent years, the traffic is developing rapidly in China, the transportation is more and more convenient, but the traffic safety problem has become the focus problem in public life. Study of the traffic problem, which is beneficial to strengthening our country citizen's traffic safety consciousness, reduce the number of traffic accidents, so as to promote the development of transportation industry in China. First, in order to promote traffic smooth effectively, cellular automation traffic flow model is constructed. By studying the double lane flow, speed, mixed ratio and the conversion rate of driving ways, it is known that the cellular automation traffic flow rule improves the lane usage rate, and stimulate traffic smooth effectively. Second, construct intelligent transportation system cellular automation model. Compare the intelligent and non-intelligent system, and the traffic capacity in different lane-changing probability varies according to density fluctuation. That is, compare the analytical result of the contrastive analysis of figure to know too high lane-changing probability is not suitable for improving the traffic flow. In other words, under the control of intelligent transportation system, the improvement on the traffic flow is not obvious, which applies to the actual situation, because intelligent transportation system has its own limit after all. The last point needed to be highlighted is that cellular automation traffic flow model does not only apply to the double-lane changing situation, but also apply to the three-lane