摘要
选择不同出发时间与不同路径出行的出行者汇聚到交通网络上,宏观表现为网络交通流的复杂时空特性.本文分析出行者1 d内的出发时间与路径选择过程的同时,还考虑了出行者的出发时间与出行路径的逐日变化情况.通过设定1 d内与逐日的网络交通流更新规则,并以此为依据,建立1 d内与逐日的双动态网络交通流演化模型,分析出行者对时段感知费用的敏感程度与对前一天出行感知效用的依赖程度是如何影响各时段网络交通流演化过程.数值结果表明:对时段感知费用敏感的出行群体,前一天出行感知效用依赖程度的大小对各时段网络交通流动态演化的影响效果相反.
The way that travelers with different departure times and different routes converge on the transportation network is macroscopically characterized by the complex temporal and spatial characteristics of network traffic flow.This paper analyzes the traveler’s departure time and route selection process in one day,and also considers the daily changes of traveler’s departure time and route.By setting the updating rules of network traffic flow within one day and day-to-day,the evolution model of network traffic flow within one day and daily was established.The evolution process of network traffic flow in each time period was analyzed by analyzing the sensitivity of travelers to perceived cost of time period and the dependence on perceived utility of previous day’s trip.The results of numerical experiments show that the degree of dependence on the perceived utility of the previous day has opposite effects on the dynamic evolution of network traffic flow in different periods.
作者
陈文思
CHEN Wensi(Fujian Urban & Rural Planning Design Institute, Fuzhou 350116, China)
出处
《武汉理工大学学报（交通科学与工程版）》
2020年第4期768-772,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
交通工程
网络交通流
双动态演化
路径选择
出发时间
数值仿真
traffic engineering
network flows
doubly dynamic evolution
route choice
departure time
numerical simulation
