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Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows

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  • Naoki Ando
  • Eiichi Taniguchi

Abstract

This paper presents calibration of the Vehicle Routing and scheduling Problems with Time Windows-Probabilistic (VRPTW-P) model which takes into account the uncertainty of travel times. Probe vehicle data of travel times were obtained from usual operation of pickup-delivery trucks in South Osaka area. The optimal solution of the VRPTW-P model resulted in reducing total cost, running times and CO 2 , NOx and Particle Materials (PM) emissions compared with the usual 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. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Naoki Ando & Eiichi Taniguchi, 2006. "Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows," Networks and Spatial Economics, Springer, vol. 6(3), pages 293-311, September.
    • Handle: RePEc:kap:netspa:v:6:y:2006:i:3:p:293-311
    DOI: 10.1007/s11067-006-9285-8
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    References listed on IDEAS

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    1. Gendreau, Michel & Laporte, Gilbert & Seguin, Rene, 1996. "Stochastic vehicle routing," European Journal of Operational Research, Elsevier, vol. 88(1), pages 3-12, January.
    2. Eiichi Taniguchi & Rob E.C.M. Van Der Heijden, 2000. "An evaluation methodology for city logistics," Transport Reviews, Taylor & Francis Journals, vol. 20(1), pages 65-90, January.
    3. Gilbert Laporte & François Louveaux & Hélène Mercure, 1992. "The Vehicle Routing Problem with Stochastic Travel Times," Transportation Science, INFORMS, vol. 26(3), pages 161-170, August.
    4. Chryssi Malandraki & Mark S. Daskin, 1992. "Time Dependent Vehicle Routing Problems: Formulations, Properties and Heuristic Algorithms," Transportation Science, INFORMS, vol. 26(3), pages 185-200, August.
    5. Eiichi Taniguchi & Russell G. Thompson & Tadashi Yamada, 2003. "Predicting the effects of city logistics schemes," Transport Reviews, Taylor & Francis Journals, vol. 23(4), pages 489-515, July.
    6. Jean-Yves Potvin & Tanguy Kervahut & Bruno-Laurent Garcia & Jean-Marc Rousseau, 1996. "The Vehicle Routing Problem with Time Windows Part I: Tabu Search," INFORMS Journal on Computing, INFORMS, vol. 8(2), pages 158-164, May.
    7. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    8. Swihart, Michael R. & Papastavrou, Jason D., 1999. "A stochastic and dynamic model for the single-vehicle pick-up and delivery problem," European Journal of Operational Research, Elsevier, vol. 114(3), pages 447-464, May.
    9. Astrid S. Kenyon & David P. Morton, 2003. "Stochastic Vehicle Routing with Random Travel Times," Transportation Science, INFORMS, vol. 37(1), pages 69-82, February.
    10. Robert A. Russell, 1995. "Hybrid Heuristics for the Vehicle Routing Problem with Time Windows," Transportation Science, INFORMS, vol. 29(2), pages 156-166, May.
    11. Jean-Yves Potvin & Samy Bengio, 1996. "The Vehicle Routing Problem with Time Windows Part II: Genetic Search," INFORMS Journal on Computing, INFORMS, vol. 8(2), pages 165-172, May.
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