混合交通流出行者Agent行为模型

Activity-based Traveler Agent Behavioral Model for Mixed Traffic Flow

由于混合交通流的交通行为和交通情况的复杂性,针对混合交通流的微观仿真模型开发一直是系统仿真领域研究难点和热点。文中提出一个基于活动的、适用于城域混合交通流仿真的出行者Agent行为模型——A-TAM,通过分析一个完整的典型出行过程,借此构建出A-TAM模型层次框架,应用Agent建模、效用函数理论和"心理场"理论对A-TAM模型中各层次模型进行分别建模,最后应用A-TAM模型对自行车在混合交通流无信号交叉口的行为进行建模,仿真结果验证了A-TAM模型的有效性。

This paper presents an activity-based Traveler Agent behavioral Model for mixed traffic flow(A-TAM),by combining the ideas of activity-based traffic demand model,hierarchical structure in behaviors,Agent approach and subjective utility optimization method.In the case study,A-TAM was applied to model cyclists'behaviors at unsignalized intersections under mixed traffic flow conditions.The validation results of the cyclists'model prove that A-TAM model is effective.