信息影响条件下考虑出行异质性的路径选择模型

出行者路径选择行为的研究对于预测城市交通流时空分布规律及维持网络经济、高效运转具有重要意义.为了探究多类型异质出行者路径选择行为的异同,研究了基于累积前景理论的多类别异质出行者路径选择模型.通过定义出行者参考点,引入考虑时间价值系数的风险敏感系数计算方法,以保证异质出行者拥有异质的风险偏好,研究分析了是否提供实时路况信息2种情境下常规通行者与通勤者路径选择行为的异同.数值算例表明,拥有较大参考点的出行者更倾向于保守地选择一条出行时间较长的道路,而其他人则更加冒险.此外,与通勤者相比,当备选方案均可以满足自身出行需求且自身参考点足够大时,常规出行者更愿意忽视风险,以获得更高的出行收益.

A Route Choice Model of Heterogeneous Travelers Considering Influences of Real Time Traffic Information

Travelers′route choice behaviors are an important factor to predict the spatial and temporal distribution of traffic flow and maintain economical and efficient operation of traffic networks.In order to explore the differences of route choice behaviors of heterogeneous travelers,a route choice model based on cumulative prospect theory is developed in this study.The differences and similarities between general travelers′and commuters′route choice behaviors under two scenarios (with and without real time traffic information)are analyzed by defining reference points and a travel risk appe-tites computing method considering coefficients of time value.This computing method assures heterogeneous travelers have different risk appetites.The results show that traveler with larger reference point is conservative and tends to choose a route with longer travel time,while the others prefer taking risks.Furthermore,when alternatives can meet travelers′requirements and their reference points are big enough,general travelers prefer to neglect risks,for higher benefits.