Optimal joint distance and time toll for cordon-based congestion pricing

被引：75

作者：

Liu, Zhiyuan ^{[1
]}

Wang, Shuaian ^{[2
]}

Meng, Qiang ^{[3
]}

机构：

[1] Monash Univ, Inst Transport Studies, Dept Civil Engn, Clayton, Vic 3800, Australia

[2] Old Dominion Univ, Strome Coll Business, Norfolk, VA 23529 USA

[3] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore

来源：

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL | 2014年 / 69卷

关键词：

Nonlinear distance pricing; Cordon-based pricing; Stochastic system optimum; Mathematical program with equilibrium constraints; Tangent plane approximation method; ROAD; EQUILIBRIUM; LEEDS;

D O I：

10.1016/j.trb.2014.08.005

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper addresses the optimal toll design problem for the cordon-based congestion pricing scheme, where both a time-toll and a nonlinear distance-toll (i.e., joint distance and time toll) are levied for each network user's trip in a pricing cordon. The users' route choice behaviour is assumed to follow the Logit-based stochastic user equilibrium (SUE). We first propose a link-based convex programming model for the Logit-based SUE problem with a joint distance and time toll pattern. A mathematical program with equilibrium constraints (MPEC) is developed to formulate the optimal joint distance and time toll design problem. The developed MPEC model is equivalently transformed into a semi-infinite programming (SIP) model. A global optimization method named Incremental Constraint Method (ICM) is designed for solving the SIP model. Finally, two numerical examples are used to assess the proposed methodology. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：81 / 97

页数：17

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