A Cellular Automaton Model of Public Transport System Based on Cruise Control

Concerning the public transport system, a new cellular automaton model of traffic is proposed using the cruise control approach. In the model, the buses would cooperate with other ones while driving and adjust their speeds based on the difference value between the current headway and the desired one. Numerical simulation results show that the proposed model can reproduce clustering of the buses along the route. By incorporating a cruise control strategy, the model helps in reducing the undesirable tendency of clustering by dispersing the buses uniformly along the route, and increasing the average speed and decreasing the average number of waiting passengers in public transport system. The system performance is then improved with the cruise control strategy, which has certain applicability and practical significance.

摘要针对公共交通系统, 基于巡航控制的思想, 本文提出一个新的可变跃迁概率元胞自动机、CA、模型。模型中假设公交车辆并非唯一追求以最大速度行驶, 而是根据期望车头距动态调整车辆向前移动的速度, 实现了公交线路上车辆之间的相互合作以及协调行驶行为。通过数值模拟实验表明, 该模型可以再现公交集簇前行的现象, 引入新的控制策略后, 模型改善了车辆在公交线路上的时空分布, 疏散了公交车辆集簇行驶的状况, 进而在很大程度上提高了公交系统内车辆运行的平均速度并且降低了平均等待乘客数。结果表明, 新的控制策略可以提升公交系统的运行效率, 具有一定的现实指导意义。