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Optimal road pricing in transportation networks.

机译:运输网络中的最佳道路定价。

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摘要

Road pricing has long been recognized to be an efficient way to mitigate traffic congestion and to recoup construction and maintenance costs for transportation infrastructure. In view of the implementation difficulty and poor public acceptance of first-best pricing, the second-best link-based and cordon-based pricing schemes are investigated in the dissertation. The optimal selection of both toll levels and toll locations is formulated by Stackelberg games with mixed variables. The upper level objective is to maximize social welfare for elastic demand or to minimize system cost for fixed demand, and the lower level describes users' route choice behavior. Genetic algorithms and simulated annealing approaches are used to solve the bi-level models. The concept of cutset in graph theory is introduced to describe the mathematical properties of a toll cordon by examining the incidence matrix of the network. Furthermore, various equity issues in congestion pricing are examined.; Modeling private highway is another task of this dissertation. Toll charges for private highways depend on the entry and exit points, which are not link-additive. By proposing a network decomposition and transformation approach, the link non-additive traffic assignment problem is solved by the traditional link-additive method. The proposed method circumvents the difficulty of path enumeration or generation frequently involved in general non-additive traffic assignment problems. The optimal toll design problem is solved by a recently developed efficient marginal function approach.; In networks with mixed users following user equilibrium and Cournot-Nash principles, applying the traditional marginal-cost pricing for a system optimum requires that link tolls be differentiated across user classes. We then establish the existence of nonnegative uniform link tolls to support the mixed equilibrium as a system optimum resorting to the dual program approach. Finally, we extend the mixed equilibrium to consider multiclass multicriteria users, and there still exist uniform link tolls for system optimum.
机译:长期以来,公路定价一直被认为是减轻交通拥堵并弥补交通基础设施建设和维护成本的有效方法。鉴于最优定价的实施难度和公众的接受程度,本文研究了基于最优价格的基于链接和基于警戒线的定价方案。收费水平和收费地点的最佳选择由具有混合变量的Stackelberg游戏制定。较高级别的目标是针对弹性需求最大化社会福利,或最小化固定需求的系统成本,较低级别描述用户的路线选择行为。遗传算法和模拟退火方法用于求解双层模型。引入图论中的割集概念,通过检查网络的入射矩阵来描述收费警戒线的数学特性。此外,研究了拥堵定价中的各种股权问题。私营公路的建模是本文的另一项任务。私家公路的通行费取决于入口和出口点,入口和出口点不是链路附加的。通过提出一种网络分解和转换的方法,通过传统的链路加法解决了链路非加法业务分配问题。所提出的方法避免了在一般的非附加业务分配问题中经常涉及的路径枚举或生成的困难。最优通行费设计问题是通过最近开发的有效边际函数方法解决的。在遵循用户均衡和古诺-纳什原则的混合用户网络中,将传统的边际成本定价用于系统最佳状态需要在用户类别之间区分链路费用。然后,我们建立非负统一收费站的存在,以支持混合均衡,将其作为对偶程序方法的系统最佳选择。最后,我们扩展了混合均衡以考虑多类多准则用户,并且仍然存在统一的通行费,以实现系统最优。

著录项

  • 作者

    Zhang, Xiaoning.;

  • 作者单位

    Hong Kong University of Science and Technology (People's Republic of China).;

  • 授予单位 Hong Kong University of Science and Technology (People's Republic of China).;
  • 学科 Engineering Civil.; Transportation.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 243 p.
  • 总页数 243
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;综合运输;
  • 关键词

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