Risk-Averse Transit Equilibrium Assignment

The classic transit assignment model assumes that passengers choose the transit route just based on estimated travel times of each transit route. However, travel times of transit routes are uncertain due to many random factors, such as signal failure, bad weathers etc. So it is important to incorporate both travel time and uncertainty of travel time into the transit equilibrium assignment model. In this paper a risk-averse transit equilibrium assignment model is formulated. Firstly, the late penalty cost function is used to describe the passengers' risk aversion behavior under threatening environment. Then a variation inequality formulation is adopted to capture the transit equilibrium pattern under uncertainty and a diagonal algorithm for the model based on route-specific costs is given. Finally a small transit network is used to illustrate the model and algorithm.

• Record URL:
  https://doi.org/10.1061/41139(387)420
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411391
• Supplemental Notes:
  • © 2010 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Huang, Zhengfeng
  • Zhong, Zhixin
  • Hang, Wuguo
• Conference:
  • International Conference of Logistics Engineering and Management (ICLEM) 2010
  • Location: Chengdu , China
  • Date: 2010-10-8 to 2010-10-10
• Publication Date: 2010-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 3002-3009
• Monograph Title: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration

Subject/Index Terms

• TRT Terms: Logistics; Risk management; Route choice; Traffic assignment; Traffic equilibrium; Travel time; Uncertainty
• Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01525652
• Record Type: Publication
• ISBN: 9780784411391
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:52PM