Exploiting Knowledge About Future Demands for Real-Time Vehicle Dispatching

This paper addresses, within the field of dynamic vehicle routing/dispatching, the issue of how to use information about future events to improve decisionmaking. It is intended to be studied in a real-time setting based on probabilistic knowledge about future request arrivals to better manage a vehicle fleet. The new strategy introduces dummy customers (representing forecasted requests) in vehicle routes to provide good coverage of the territory. This strategy is assessed through computational experiments conducted in a simulated environment.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
• Authors:
  • Ichoua, Soumia
  • Gendreau, Michel
  • Potvin, Jean-Yves
• Publication Date: 2006-5

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 211-225
• Serial:
  • Transportation Science
  • Volume: 40
  • Issue Number: 2
  • Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
  • ISSN: 0041-1655
  • Serial URL: http://transci.journal.informs.org/

Subject/Index Terms

• TRT Terms: Dispatching; Fleet management; Real time information; Routes and routing; Simulation; Supply chain management; Travel demand; Travel demand management
• Uncontrolled Terms: Dynamic routing; Fleet operations; Supply and demand
• Subject Areas: Freight Transportation; Highways; Planning and Forecasting; Society; I10: Economics and Administration; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01031776
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 5 2006 7:48AM