Cellular automaton models for traffic flow considering opposite driving of an emergency vehicle

摘要: Aiming at two-lane road, this paper establishes three models to analyze the opposite-overtaking rules of emergency vehicle based on cellular automaton (CCA) model. Based simulation mixed traffic flow for multi-density conditions, density-speed diagrams have been obtained consequently. According analysis, when density opposite lane is low, driving behavior can improve average speed effectively. At same time, if cocurrent in high-density traffic, will be disturbed, but vehicles not affected. The has further discussed influence different behaviors traffic. results reveal that as a low-density range, operates overtaking precisely, greater is, more obviously improve. Meanwhile large random fluctuation times occur. While risky change displays characteristics, direction high density, increases slightly and number changed regularly.