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意外交通事件的发生会干扰正常的交通流秩序,甚至引起交通堵塞。建立交通意外事件影响下的交通流仿真模型,将能有效地对拥堵传播控制进行研究。对堵塞车流中车辆个体的行为特征进行了详尽分析后,通过设置“挤车变道”规则对现有的元胞自动机模型进行了改进,建立起一种适合描述交通堵塞传播的元胞自动机模型。该模型能够较为准确地模拟出堵塞交通流的时空传播过程。最后,利用本模型探索了主要交通流参数对堵塞传播的影响规律。
Accidental traffic accidents can disrupt normal traffic flow and cause traffic jams. Establishing a traffic simulation model under the influence of traffic accidents will effectively study congestion control. After detailed analysis of the behavior characteristics of vehicles in the traffic jam, the existing Cellular Automata model was improved by setting the rules of “Crowded lane change” to establish a suitable element to describe the traffic jam propagation Cellular Automata Model. The model can simulate the space-time propagation process of traffic jam more accurately. Finally, this model is used to explore the influence of the main traffic flow parameters on jamming and propagation.