交通运输系统工程与信息 ›› 2012, Vol. 12 ›› Issue (2): 76-84.

• 系统工程理论与方法 • 上一篇    下一篇

基于走行时间鲁棒可靠性的随机交通均衡问题

孙华a,高自友*,b   

  1. 北京交通大学a.城市交通复杂系统理论与技术教育部重点实验室; b.交通运输学院系统科学研究所,北京 100044
  • 收稿日期:2011-11-28 修回日期:2012-01-05 出版日期:2012-04-25 发布日期:2012-04-27
  • 作者简介:孙华(1980-),男,湖北武汉人,博士生.
  • 基金资助:

    国家自然科学基金(71131001);国家973计划(2012CB725400).

Stochastic Traffic Equilibrium Based on Travel Time Robust Reliability

SUN Hua a, GAO Zi-you b   

  1. a. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology; b.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044,China
  • Received:2011-11-28 Revised:2012-01-05 Online:2012-04-25 Published:2012-04-27

摘要: 在基于走行时间可靠性的交通均衡问题中,普遍存在假设是引起走行时间变异的OD (OriginDestination)需求或路段通行能力的概率分布是精确已知的。然而,现实中这些概率分布很难精确获得.本文放松这个假设而仅要求知道OD需求的前m阶矩(这里m是和路段费用函数的形式相关的正整数),通过运用最坏风险价值和最坏条件风险价值指标定义鲁棒分位走行时间和鲁棒超过期望走行时间,并证明在一般分布下两种出行时间是等价的.基于此定义,通过整合出行者的感知误差,提出了鲁棒分位随机用户均衡(鲁棒超过期望随机交通均衡)模型,模型被表示为一个变分不等式,并证明了解的存在性,然后运用一种启发式算法求解该模型.数值算例显现了模型在应用上的特性及算法上的有效性.

关键词: 系统工程, 随机交通均衡问题;最坏风险价值;最坏条件风险价值;鲁棒分位走行时间;鲁棒超过期望走行时间;变分不等式

Abstract: An assumption that pervades the current reliablitybased traffic equilibrium problem is that probability distributions of the origindestination (O-D) demand or/and link capacities are known explicitly. However, these distributions are difficult to be accurately obtained. This paper relaxes this assumption. It only needs to know the first m moments of travel demand (where m is a positive integer associated with the formulation of link cost function ) ,and then applies two worstcase ValueatRisk (WVaR) and worstcase Conditional valueatrisk (CVaR) risk measures to define robust percentile travel time (RPTT) and robust meanexcess travel time (RMETT) and prove that this two kinds travel time is equal under general distribution. Based on the defined travel time, the robust percentile stochastic user equilibrium (RPSUE) or robust meanexcess stochastic traffic equilibrium model (RMESTE) is proposed by incorporating trarelers’percoption error, which is formulated as an equivalent routebased variational inequality. Conditions are established guaranteeing existence of this equilibrium. A heuristic solution problem is introduced to solve the variational inequalities problem. A numerical example is used to illustrate the applications of the proposed model and the solution algorithm.

Key words: system engineering, stochastic traffic equilibrium problem, worstcase valueatrisk, worstcase conditional valueatrisk, robust percentile travel time, robust meanexcess travel time, variational inequalities

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