AN EXPERIMENTAL ANALYSIS ON PROBABILISTIC VEHICLE ROUTING AND SCHEDULING WITH ITS

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Abstract

This paper presents the performance of the Probabilistic Vehicle Routing and scheduling Problem with Time Windows (VRPTW-P) model which takes into account the uncertainty of travel times through case studies. Probe vehicle data of travel times were obtained from actual operation of pickup-delivery truck in South-Osaka area. VICS (Vehicle Information Communication System) also provides travel times for some links in the same area. With these travel time information, the optimal solution of VRPTW-P resulted in considerably reducing total costs, travel times and CO<sub>2</sub>, NO<sub>X</sub> and SPM emissions compared with expected average case based on the real operation. This is attributed to better routing of VRPTW-P to choose more reliable roads. Therefore, VRPTW-P can contribute to establish efficient and environmentally friendly delivery systems in urban area. In particular delay penalty was considerably reduced.

Journal

  • Journal of the Eastern Asia Society for Transportation Studies

    Journal of the Eastern Asia Society for Transportation Studies 6(0), 3052-3061, 2005

    Eastern Asia Society for Transportation Studies

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