摘要
相比基于均衡原理所建立的网络均衡配流模型,日变交通配流模型能够描述网络系统的非均衡状态,因而具有更一般的适用性.针对基于期望效用理论的出行者路径选择模型的不足,采用累积前景理论获得了出行者具有参考点依赖特征的路径累积前景值.假设出行者是最大路径累积前景的追随者,利用不同路径累积前景的差异构建了网络系统路径流量交换模型,并据此建立了一个日变动态配流模型.通过一个算例网络对配流模型进行了验证,数值结果表明所提出的模型能够反映动态决策环境下出行者考虑随机风险的有限理性决策行为.
As compared with the network equilibrium assignment model based on the equilibrium principle, the day-to-clay traffic assignment model is more feasible due to its capability to describe the disequilibrium status of a network system. In order to overcome the defects of the expected utility theory-based route choice model of trave- lers, the cumulative prospect theory is used to obtain the cumulative prospect value of the traveler route with the characteristic of reference point dependency. Assuming that travelers are the followers of the maximum cumulative prospect of routes, a route switching model for network systems is constructed according to the discrepancy between different route cumulative prospects, and then a day-to-day dynamic assignment model is proposed. Finally, the proposed assignment model is verified by a numerical test on a network. The results show that the proposed assign- ment model can describe travelers＇ boundedly rational behavior considering stochastic risks in dynamic decision- making contexts.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第12期58-63,共6页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(51278429)
关键词
道路网络
有限理性
日变动态
配流模型
road network
bounded rationality
day-to-day dynamic
assignment model
