基于Agent仿真的ATIS条件下路径选择行为研究

Agent-based Simulation of Traveler’s Route Choice Behavior under ATIS

在复杂适应系统理论指导下,采用基于Agent的建模理论,对ATIS条件下出行者的路径选择行为从宏观、微观两个层面分别进行建模。按照建模结果,利用Repast平台建立了计算机仿真系统。在该仿真系统中对具有两条平行路径的路网上进行了仿真实验,实验结果表明ATIS系统对于出行者的出行规划有一定影响,而且ATIS的收益随着交通流量的增加有一定提高。研究结论为ATIS的应用提供了有益的参考。

It＇s very important to know about the rule of travelers ＇route choice behavior under ATIS. Firstly, the travelers＇ route choice behavior under ATIS was modeled in both macro and micro level by the Agent modeling methodology, which is the popular approach from Complex Adaptive System theory. Secondly, the computer simulation system under the environment of REPAST was built. Finally, the experiments on the two-route network were carried out by using the simulation system. The result shows that ATIS has an impact on the trip planning of travelers and the benefit of ATIS will improve with the growth of traffic flow in a certain extent. This gives good reference for the application of ATIS.