Analysis of urban road intersection model based on cellular automaton

Abstract

In the urban road network, urban road intersection is the main bottleneck of traffic capacity. It is very important to ensure the orderly operation of urban road intersection for the improvement of urban traffic. In this paper, it is started with urban road intersection. The relationship of vehicle speed, vehicle changing lanes, vehicle running red light, and pedestrian running red light is introduced into cellular automaton model, and established the cellular automaton model of urban road intersection. After traffic situation is highly simulated by cellular automaton model of urban road intersection, it is found that complex traffic rules make vehicles detained in the intersection, which deteriorates the traffic conditions of intersection; pedestrians and vehicles running red light will make the intersection disorder, and vehicles running red light influences more on the traffic situation of the intersection than pedestrians do. © Springer-Verlag Berlin Heidelberg 2013.