Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents

Abstract

Traffic incidents decrease the capacity of road segments and disturb normal traffic flow. Analyzing the evolution of traffic incident effects by building a simulation model for traffic incidents not only helps in better understanding traffic flow characteristics in abnormal conditions, but also provides a theoretical basis for traffic control strategies. Considering the characteristics of driver behavior, this study proposes an improved model of traditional symmetric two-lane cellular automaton (STCA) based on lane-changing rules. Velocity is used to build a traffic simulation cellular automaton model for traffic incident conditions. The improved model simulated traffic flow better than the traditional STCA model.