城市交通中利用Gram-Charlier分布估计行程时间可靠性

中国管理科学 ›› 2009, Vol. 17 ›› Issue (6): 139-146.

城市交通中利用Gram-Charlier分布估计行程时间可靠性

侯立文¹, 谭家美²

1. 上海交通大学管理学院, 上海 200240;
2. 上海海事大学交通运输学院, 上海 200135

收稿日期:2009-02-20 修回日期:2009-11-03 出版日期:2009-12-30 发布日期:2009-12-30
作者简介:侯立文(1972- ), 男(汉族), 山西人, 上海交通大学管理学院, 博士, 副教授, 研究方向:系统建模与仿真.
基金资助:
国家自然科学基金资助项目(70501020);863资助项目(2007AA11Z203)

Estimating Travel Time Reliability in Urban Transportation Using Gram-Charlier Distribution

HOU Li-wen¹, TAN Jia-mei²

1. Antai Management School, Shanghai Jiaotong University, Shanghai 200240, China;
2. College of Transport, Shanghai Maritime University Shanghai 200135, China

Received:2009-02-20 Revised:2009-11-03 Online:2009-12-30 Published:2009-12-30

摘要/Abstract

摘要： 行程时间可靠性近年来成为交通领域重点关注的问题,但现有方法在反映当前行程时间的尖峰厚尾特征方面已表现出与实际情况的较大差异,因此本文针对这一弱点,结合数据收集的难易,设计了一种新颖的栅格行程时间预测方法,可以全面考虑车辆的行驶和等待时间,然后引入了可以反映更多行程时间信息的Gram-Charlier分布函数,作为行程时间可靠性的研究手段,同时对分布参数给出了两种计算方法.仿真结果表明,本文提出的方法能很好体现当前城市交通行程时间的易变性特点.

关键词: 行程时间预测, 行程时间可靠性, Gram-Charlier分布, 城市交通

Abstract: The deteriorative traffic condition in many cities significantly augments travel cost, and hence resulting in so-called fat tail effect.This paper aims at depicting such phenomenon by employing such concept as travel time reliability(TTR) to recapitulate the variational character.Firstly, a no vel metho d to predict travel time, i.e.grid method, is designedfor the sake of integrating driving time and queuing time.And then, Gram-Charlier as a powerful probability tool is applied to describe the extrusive character of TTR based on its four parameters.Two approaches are discussed to assist derive those parameters in closed form.Finally, a simulation result illustrates that the method works, and further research is indicated as well.

Key words: travel time prediction, travel time reliability(T T R), Gram-Charlier distribution, urban transportation

中图分类号:

侯立文, 谭家美. 城市交通中利用Gram-Charlier分布估计行程时间可靠性[J]. 中国管理科学, 2009, 17(6): 139-146.

HOU Li-wen, TAN Jia-mei. Estimating Travel Time Reliability in Urban Transportation Using Gram-Charlier Distribution[J]. Chinese Journal of Management Science, 2009, 17(6): 139-146.