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Map-Route: a GIS-based decision support system for intra-city vehicle routing with time windows

Author

Listed:
  • G Ioannou

    (Athens University of Economics and Business)

  • M N Kritikos

    (Athens University of Economics and Business)

  • G P Prastacos

    (Athens University of Economics and Business)

Abstract

This paper presents a Decision Support System (DSS) that enables dispatchers–schedulers to approach intra-city vehicle routing problems with time windows interactively, using appropriate computational methods and exploiting a custom knowledge base that contains information about traffic and spatial data. The DSS, named Map-Route, generates routes that satisfy time and vehicle capacity constraints. Its computational engine is based on an effective heuristic method for solving the underlying optimization problem, while its implementation is developed using MapInfo, a popular Geographical Information System (GIS) platform. Map-Route provides very efficient solutions, is particularly user-friendly, and can reach answers for a wide variety of ‘what if’ scenarios with potentially significant cost implications. We have implemented Map-Route in an actual industrial environment and we report on the experience gained from this real-life application.

Suggested Citation

  • G Ioannou & M N Kritikos & G P Prastacos, 2002. "Map-Route: a GIS-based decision support system for intra-city vehicle routing with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(8), pages 842-854, August.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:8:d:10.1057_palgrave.jors.2601375
    DOI: 10.1057/palgrave.jors.2601375
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    Citations

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    Cited by:

    1. N Shi & R K Cheung & H Xu & K K Lai, 2011. "An adaptive routing strategy for freight transportation networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 799-805, April.
    2. Nicolas Rincon-Garcia & Ben J. Waterson & Tom J. Cherrett, 2018. "Requirements from vehicle routing software: perspectives from literature, developers and the freight industry," Transport Reviews, Taylor & Francis Journals, vol. 38(1), pages 117-138, January.
    3. W L Ng & S C H Leung & J K P Lam & S W Pan, 2008. "Petrol delivery tanker assignment and routing: a case study in Hong Kong," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1191-1200, September.

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