交通信息系统作用下的随机用户均衡模型与演进

在有交通信息系统作用下的路网中，出行者会根据交通信息系统提供的交通状况信息和以往的经验选择白己的出行路线和出发时间。根据出行者对交通信息的信任和接受程度，本文将出行者分为怀疑保守型和信任乐观型两大类，在他们的路径旅行时间基础之上，推导出新一轮期望理解路径时间函数，讨论了该函数的特性，并建立了一个等价的随时间演进的随机用户均衡模型。

A Stochastic User Equilibrium Model under ATIS and Its Evolutionary Implementation

In a road network served by advanced traveler information system (ATIS), commuters will select their routes and departure times through comprehensively utilizing previous knowledge on traffic condition and current information from ATIS. In this paper, we divide all commuters into two types, namely optimism and pessimism with different attitudes toward ATIS service, and study their travel time determination. Then we formulate an expected perceived travel time function that will be used as personal knowledge in the next round route choice, and investigate its properties. Finally, we propose an equivalent mathematical programming that for each time period realizes the logit-based stochastic user equilibrium route choice with expected perceived travel times.