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Probabilistic Model Of A Single Vehicle And One Destination Routing Problem And Its Monte Carlo Solutions

Author

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  • Andrzej Grzybowski

    (Czêstochowa University of Technology)

Abstract

The paper is devoted to a shortest-time routing problem. A decision-maker has to choose one from several possible routes for a vehicle which should reach its destination as soon as possible. The time required to reach the destination depends on the chosen route and the state of traffic flow in the region and is considered as a random variable. Under an assumption that the probability distribution function of the random traffic flow depends on states of the nature which can be reasonably categorized into finite number of classes a game-theoretic approach is proposed and discussed. Then to solve the problem some global optimization procedure combined with Monte Carlo simulations is adopted. Under some additional assumptions about the route time distributions several examples are solved.

Suggested Citation

  • Andrzej Grzybowski, 2010. "Probabilistic Model Of A Single Vehicle And One Destination Routing Problem And Its Monte Carlo Solutions," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 4(1), pages 53-60, December.
  • Handle: RePEc:pcz:alspcz:v:4:y:2010:i:1:p:53-60
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    References listed on IDEAS

    as
    1. Estevez Fernandez, M.A. & Borm, P.E.M. & Meertens, M. & Reijnierse, J.H., 2009. "On the core of routing games with revenues," Other publications TiSEM 09bc6e81-943f-466a-b86f-f, Tilburg University, School of Economics and Management.
    2. Arantza Estévez-Fernández & Peter Borm & Marc Meertens & Hans Reijnierse, 2009. "On the core of routing games with revenues," International Journal of Game Theory, Springer;Game Theory Society, vol. 38(2), pages 291-304, June.
    3. Andrzej Grzybowski, 2009. "A Note On A Single Vehicle And One Destination Routing Problem And Its Game-Theoretic Models," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 3(1), pages 71-76, December.
    4. Sebastian Kot & Beata Åšlusarczyk, 2009. "Process Simulation In Supply Chain Using Logware Software," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(11), pages 1-37.
    Full references (including those not matched with items on IDEAS)

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