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受停靠站影响,公共交通系统运行过程中容易产生集簇现象.本文细致地考虑了公交停靠站长度和停靠站在线路上的分布情况,构建了一个新的公交运输系统元胞自动机模型.数值模拟结果表明,在引入停靠站长度和停靠站分布两种因素后,模型在微观层面上更清晰地刻画了车辆在公交线路上的时空分布,再现了公交运行中的集簇现象,定量地评价了停靠站分布对车辆平均速度的影响.本研究对进一步认识集簇现象的形成机理和优化停靠站设计具有指导意义.
Affected by the stopping station, it is easy to cause cluster phenomenon during the operation of public transportation system.This paper carefully considers the length of bus stops and the distribution of bus stops on the line, and builds a new cellular transport automaton model. The simulation results show that after the introduction of the length of stopping station and the distribution of the stopping stations, the model more clearly depicts the space-time distribution of the vehicles on the bus lines at the micro level and reproduces the clustering phenomenon in the bus operation, The influence of the distribution of the bus stops on the average speed of the vehicle is researched.This research is instructive to further understand the formation mechanism of the clustering phenomenon and to optimize the design of the docking station.