The Combined Distribution and Stochastic Assignment Problem with Distance Constraint

This paper formulates a combined distribution and stochastic assignment model for destination and route choice with two classes of vehicles: gas and pure electric. Pure electric vehicles are subject to distance constraints representing range limitations, while gas vehicles have no such constraints. For both types of trips, the travel demand will be allocated to destinations and paths according to the principles of logit-based distribution and stochastic user equilibrium. In particular, the equivalency of the model results and the allocation principle are derived. An algorithm for the solution of the model is developed. Finally, several numerical studies are implemented which show the impacts of distance constraints on distribution and assignment.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB30 Transportation Network Modeling.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Tang, Shoupeng
  • Boyles, Stephen D
  • Jiang, Nan
• Conference:
  • Transportation Research Board 92nd Annual Meeting
  • Location: Washington DC, United States
  • Date: 2013-1-13 to 2013-1-17
• Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 17p
• Monograph Title: TRB 92nd Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Distance; Electric vehicles; Origin and destination; Route choice; Traffic assignment; Traffic equilibrium; Travel demand; Trip distribution
• Subject Areas: Highways; Planning and Forecasting; I71: Traffic Theory;

Filing Info

• Accession Number: 01478317
• Record Type: Publication
• Report/Paper Numbers: 13-4476
• Files: TRIS, TRB, ATRI
• Created Date: Apr 15 2013 1:15PM