智能交通系统可以实时反馈路况信息、诱导出行,进而缓解交通拥堵.在时间反馈和平均速度反馈两种信息服务策略下,考虑重叠路段的影响,利用元胞自动机模型对人们的路径选择行为进行了模拟.结果表明,在含有重叠路段的网络中,相对时间反馈策略而言,平均速度反馈策略可以更有效地降低人们的出行时间,其优势在重叠部分长度占路径长度的比例很小和较大时十分明显,且随路径长度的增加而上升.在提高路网的利用效率方面,平均速度反馈策略的优势随路径长度的增加而逐渐下降,随重叠部分长度的增加而先降后升.
Intelligent traffic systems can help road users make reasonable route choice by providing them real-time traffic information, thus alleviate congestion. Considering the existence of overlapping between routes, this paper applies the cellular automaton model to simulate and investigate the route choice behavior under two information service strategies, namely travel time feedback strategy and mean velocity feedback strategy. Our simulation results indicate that the mean velocity feedback strategy can reduce the route travel time more efficiently than the time feedback strategy, particularly in longer networks with very short or very long overlapping segments. Its advantage in improving the network utilization efficiency decreases with the route length and drops first and rises afterwards with the length of overlapping part.