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.