On-Line Algorithms for Truck Fleet Assignment and Scheduling under Real-Time Information

نویسندگان

  • Jian Yang
  • Patrick Jaillet
  • Hani S. Mahmassani
چکیده

With greater availability of real-time information systems, algorithms are needed to support commercial fleet operators in their decisions to assign vehicles and drivers to loads in a dynamic environment. We present a rolling horizon framework for the dynamic assignment and sequencing of trucks to jobs consisting of picking up and delivering full truckloads when requests for Submitted for presentation at the 78th Annual Meeting of the Transportation Research Board, January 1999, Washington, D.C. and publication in Transportation Research Board.

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تاریخ انتشار 1999