华南理工大学学报(自然科学版) ›› 2008, Vol. 36 ›› Issue (2): 1-6.

• 交通运输工程 •    下一篇

路网下收费道路的分车型费率优化模型

刘伟铭付凌峰姜山2   

  1. 1. 华南理工大学 交通学院, 广东 广州 510640; 2. 交通部 公路科学研究院, 北京 100088
  • 收稿日期:2007-04-09 修回日期:2007-09-03 出版日期:2008-02-25 发布日期:2008-02-25
  • 通信作者: 刘伟铭(1963-),男,教授,博士生导师,主要从事复杂交通系统的优化、处理、识别与控制研究. E-mail:mingweiliu@126.com
  • 作者简介:刘伟铭(1963-),男,教授,博士生导师,主要从事复杂交通系统的优化、处理、识别与控制研究.
  • 基金资助:

    国家西部交通建设科技项目(200139822382)

Optimal Model of Multi-Class Toll Rate for Toll Road in Road Network

Liu Wei-ming1  Fu Ling-feng1  Jiang Shan   

  1.  1. School of Traffic and Communications, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. Research Institute of Highway Ministry of Communications, Beijing 100088, China
  • Received:2007-04-09 Revised:2007-09-03 Online:2008-02-25 Published:2008-02-25
  • Contact: 刘伟铭(1963-),男,教授,博士生导师,主要从事复杂交通系统的优化、处理、识别与控制研究. E-mail:mingweiliu@126.com
  • About author:刘伟铭(1963-),男,教授,博士生导师,主要从事复杂交通系统的优化、处理、识别与控制研究.
  • Supported by:

    国家西部交通建设科技项目(200139822382)

摘要: 为了科学地对收费道路的费率进行决策,以收费道路及相邻道路组成的路网为研究对象,利用双层规划理论建立起路网下的分车型费率优化模型,上层规划描述路网管理者追求社会效益最大化的思想,并以实现道路经营者的财务目标作为约束条件;下层规划采用多车型多准则交通均衡模型来描述道路使用者的出行选择行为;通过模型求解可以获得各收费路段的分车型最优收费费率以及相应的路网交通流量.文中还介绍了利用遗传模拟退火混合算法进行模型求解的步骤.算例分析表明,路网下收费道路的分车型费率优化结果可以有效地提高整个网络的运行效率,并更好地体现不同车型用户间的公平性.

关键词: 道路收费, 优化模型, 双层规划, 交通均衡, 用户多样性

Abstract:

In order to find a scientific approach to the decision-making of toll rate, this paper proposes an optimal model of multi-class toll rate based on the bi-level programming theory for the road network consisting of toll roads and adjacent roads. The upper-level programming of the proposed model describes the objective of network management for the maximum social benefits, and uses the revenue of proprietors as the restraint. The lower-level programming adopts a multi-class multi-criterion traffic equilibrium model to simulate the route choice behavior of road users. By solving the proposed model, the optimal charge rate of each toll road for different types of vehicles and the corresponding traffic assignment results can be obtained. Moreover, the solution steps of the model via the hybrid genetic/simulated annealing algorithm are presented. The results of a numerical example indicate that the proposed model can effectively improve the efficiency of the entire road network and better implement the pay equity among road users with different vehicle types.

Key words: road pricing, optimal model, bi-level programming, traffic equilibrium, user heterogeneity