A Robust Approach to Continuous Network Designs with Demand Uncertainty

This paper considers a robust optimization to solve a continuous network design problem with demand uncertainty. The authors assume that the travel demands belong to a convex and compact uncertainty set instead of having them follow some probability distributions and traffic flows on the underlying network are in user equilibrium. For a given demand realization, the problem reduces to a mathematical program with equilibrium constraints. The algorithm proposed in this paper for the problem converges under certain conditions. However, numerical results using two networks from the literature empirically demonstrate that the algorithm is effective and has the potential to solve realistic problems.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780080453750
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Corporate Authors:

  Elsevier

  Linacre House, Jordan Hill
  Oxford,   United Kingdom  OX2 8DP
• Authors:
  • Yin, Yafeng
  • Lawphongpanich, Siriphong
• Conference:
  • Transportation and Traffic Theory 2007. Papers Selected for Presentation at ISTTT17
  • Location: London , England
  • Date: 2007-7-23 to 2007-7-25
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 111-126
• Monograph Title: Transportation and Traffic Theory 2007

Subject/Index Terms

• TRT Terms: Algorithms; Demand; Demand responsive transportation; Traffic flow; Travel demand; Travel demand management; Uncertainty
• Uncontrolled Terms: Road networks; User equilibrium constraints
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01076711
• Record Type: Publication
• ISBN: 9780080453750
• Files: TRIS
• Created Date: Sep 21 2007 1:55PM