ROUTING OF COMMERCIAL VEHICLES USING STOCHASTIC PROGRAMMING

Freight carriers within urban areas are increasingly being required to arrive at customers within designated time windows within the framework of just-in-time transportation. This paper evaluates the performance of a probabilistic model developed using stochastic programming to determine the optimal routes for the local delivery problem. The probabilistic model uses information relating to the variability of travel times as part of its formulation. Simulation was used to compare the performance of the probabilistic model with that of the forecast model. Although the performance of both models was similar when travel time conditions were good, the probabilistic model performed much better in congested conditions. (a) For the covering entry of this conference, please see ITRD E202211.

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 73-83

Subject/Index Terms

Filing Info

  • Accession Number: 00796445
  • Record Type: Publication
  • Source Agency: ARRB
  • ISBN: 4-9980767-0-1
  • Files: ITRD, ATRI
  • Created Date: Aug 2 2000 12:00AM