Study on Vehicle Lane-Changing Behavior Based on Cellular Automaton

Abstract

The cellular automaton model is an effective tool for studying the dynamic characteristics of urban road traffic flow. To improve the lane changing behavior of vehicles in a microscopic traffic simulation by using the cellular automaton model, the interaction between the following and the lane changing vehicles was analyzed. The following vehicle on the target lane was taken as the research object during the lane changing process, and the lane changing rules of three lane changing models, namely, the free, forced, and cooperative lane changing models, were adopted. These three types of models were simulated and compared by changing the traffic flow density. The average velocity of the cooperative lane changing model was higher than that of the other models. The information exchange between the vehicles improves the lane change success rate and ensures that the road resources are fully utilized. The cooperative lane changing model is better than the original STCA model in improving traffic flow and reducing traffic jams.