Dynamic decision making for commercial fleet operations using real-time information

Amelia C. Regan*, Hani S. Mahmassani, Patrick Jaillet

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

The application of intelligent transportation system technologies to freight mobility requires dynamic decision-making techniques for commercial fleet operations, using real-time information. Recognizing the productivity-enhancing operational changes possible using real-time information about vehicle locations and demands coupled with constant communication between dispatchers and drivers, a general carrier fleet management system is described. The system features dynamic dispatching, load acceptance, and pricing strategies. A simulation framework is developed to evaluate the performance of alternative load acceptance and assignment strategies using real-time information. Real-time decision making for fleet operations involves balancing a complicated set of often conflicting objectives. The simulation framework provides a means for exploring the trade-offs between these objectives. Results suggest that reductions in cost and improvements in service quality should result from the use of dynamic dispatching (assignment) strategies in addition to traditional planning tools. These results and the overall simulation framework are discussed.

Original languageEnglish (US)
Pages (from-to)91-97
Number of pages7
JournalTransportation Research Record
Issue number1537
DOIs
StatePublished - Jan 1 1996

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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