本文研究了先进交通信息系统下城市网络交通流的动态演化行为.网络交通流的演化过程中,出行者不断调整自己的出行行为.在存在交通信息系统的路网中,出行者通过接受交通信息系统的路网信息和自己的出行经验选择出行路径.考虑在交通需求为弹性的情况下,按照出行者对交通信息的接受程度,将出行者分为保守和乐观两种类型.通过引入刻画交通流演化的Logit动态方程,得到对应的弹性需求随机用户均衡交通流演化模型.并分析了模型中保守型出行者所占比例对交通流演化的影响,得出保守型出行者所占比例越大,均衡状态下的路径费用越高,路径流量越小.最后通过数值仿真进一步验证了分析结论.
The paper investigates the dynamic behavior of urban network traffic flow. In the evolution process of traffic flow in the urban network, travelers adjust the day-to-day route choice. In a traffic network served by advanced traveler information systems (ATIS), travelers always choose their routes based on experiments on traffic condition and current network information provided by the ATIS. With different attitudes toward ATIS service, the paper divides all the travelers into two types, namely optimism and conservatism, and then examine their travel time determination. Integrateing the Logit dynamics with the above work, this study further develops the network traffic flow evolutionary model considering stochastic userequilibrium with elastic demand with ATIS. In the last section, a numerical example is given to illustrate the evolution process of the model. Simulation results indicate the proportion of eonservativc travelers exerts effects on the final state of traffic flow.