摘要
在无信息、发布历史信息和发布预测信息3种信息条件下,分别建立了驾驶员的路径理解行程时间期望值的更新模型.通过建立一个含有2条平行路径的简单路网,对3种交通信息条件下驾驶员逐日路径选择进行了仿真,结果表明:交通信息对驾驶员的作用与驾驶员路径选择的随机程度和对信息依赖程度有关;在3种交通信息条件下,路网均不能达到用户均衡平衡状态;交通信息的预测方法不同,预测信息对驾驶员路径选择的影响有差异.
Firstly,it is assumed that drivers select routes in terms of drivers′ perceived travel time on routes.Consequently,the route choice model is developed.Then,updating the drivers′ routes′ perceived travel time is modeled respectively in three kinds of traffic information conditions,which are absence of information,releasing historical information and releasing forecast information.Finally,by establishing a simple road network with two parallel paths,the drivers′ day-to-day route choice is simulated in the three kinds of traffic information conditions.The results show that the impacts of traffic information on drivers are related to the degree of random of driver′s route choice and reliance on the information.In addition,the road network can not reach user equilibrium in three kinds of information.Moreover,the drivers' route choice behavior is affected distinctly by different predicted traffic information.
出处
《武汉理工大学学报(交通科学与工程版)》
2011年第6期1130-1134,共5页
Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金
国家自然科学基金项目(批准号:50978008)
北京市自然科学基金项目(批准号:8102007)资助
关键词
路径选择行为
交通信息
微观仿真
用户均衡
route choice behavior
traffic information
microscopic simulation
user equilibrium