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.
Clustering of bus flow easily occurs due to the influence of bus stop. A new cell automaton model which considers the length and distribution of bus stations is proposed in this paper. Numerical simulation shows that the model can explicitly depict the space-time trajectories of bus movement along a bus line,reproduce the clustering phenomenon of bus flow,and quantitatively evaluate the impact of bus station distribution on bus average speed. The study provides insight on formation mechanism of clustering and may contribute to the optimization of locating bus stations.