Combinatorial Optimization Model and Algorithm of Congestion Pricing for Toll Levels and Toll Locations in Multi-Class Network

A combinatorial optimization model of congestion pricing for toll levels and toll locations in multi-class network is proposed with the number of toll links unknown. This model is a bi-level programming model where the upper level program aims to maximize the net social welfare and the lower level proposes a multi-class network equilibrium model with elastic demand. The hybrid genetic algorithm-simulated annealing (GA-SA) method is presented in order to solve the above-stated model containing mixed discrete and continuous variables. The feasibility and effectiveness of the model and its algorithm are illustrated with a numerical example.

• Record URL:
  https://doi.org/10.1061/41184(419)12
• Record URL:
  http://ascelibrary.org/doi/abs/10.1061/41184%28419%2912
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411841
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhu, Jincheng
  • Huang, Zhengfeng
  • Tuo, Chao
  • Wu, Wen
• Conference:
  • Third International Conference on Transportation Engineering (ICTE)
  • Location: Chengdu , China
  • Date: 2011-7-23 to 2011-7-25
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 66-72
• Monograph Title: ICTE 2011

Subject/Index Terms

• TRT Terms: Combinatorial analysis; Congestion pricing; Genetic algorithms; Optimization; Programming (Mathematics); Simulated annealing; Toll roads
• Subject Areas: Finance; Highways; Planning and Forecasting; I10: Economics and Administration; I71: Traffic Theory;

Filing Info

• Accession Number: 01446436
• Record Type: Publication
• ISBN: 9780784411841
• Files: TRIS, ASCE
• Created Date: Sep 18 2012 1:27PM