高速公路交通流状态的元胞自动机模型仿真与推演

Simulation and deduction of cellular automata model for highway traffic flow state

文章提出了一个新的元胞自动机模型即AD模型。该模型最主要的改进在于车辆的减速方式更加合理。本研究使用SUMO进行微观交通仿真。文章假设了3种可能的下游场景,包括车道封闭、限流瓶颈和限速瓶颈,并使用AD模型、IDM模型和SUMO默认的Krauss模型分别进行分析。结果表明在限速瓶颈场景下,使用AD模型可以得到最好的仿真效果。这一成果对未来的高速公路交通流管控工作具有重要的参考价值。

This paper proposes a new cellular automaton model namely AD model.The main improvement of the model is that the vehicle deceleration mode is more reasonable.The microscopic traffic simulation was performed using SUMO.Three possible downstream scenarios were assumed,including lane closure,flow-limiting bottleneck,and rate-limiting bottlenecks,and analyzed separately using the AD model,the IDM model,and the default Krauss model of SUMO.The results show that the best simulation results can be obtained using the AD model in the rate-limiting bottleneck scenario.This achievement has an important reference value for the future expressway traffic flow control work.