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Dynamic Vehicle Routing Based on Online Traffic Information

Author

Listed:
  • Bernhard Fleischmann

    (Department of Productions and Logistics, University of Augsburg, 86135, Augsburg, Germany)

  • Stefan Gnutzmann

    (DaimlerChrysler AG, Berlin, Germany)

  • Elke Sandvoß

    (Department of Productions and Logistics, University of Augsburg, 86135, Augsburg, Germany)

Abstract

With the increasing availability of real-time information and communication systems in logistics, the need for appropriate planning algorithms, which make use of this technology, arises. Customers in transport markets increasingly expect quicker and more flexible fulfillment of their orders, especially in the electronic marketplace. This paper considers a dynamic routing system that dispatches a fleet of vehicles according to customer orders arriving at random during the planning period. Each customer order requires a transport from a pickup location to a delivery location in a given time window. The system disposes of online communication with all drivers and customers and, in addition, disposes of online information on travel times from a traffic management center. This paper presents a planning framework for this situation which, to our knowledge, has not yet been addressed in the literature. It then describes three routing procedures for event-based dispatching, which differ in the length of the planning horizon per event. We focus on the use of dynamic travel time information, which requires dynamic shortest path calculations. The procedures are tested and compared using real-life data of an urban traffic management center and a logistics service provider.

Suggested Citation

  • Bernhard Fleischmann & Stefan Gnutzmann & Elke Sandvoß, 2004. "Dynamic Vehicle Routing Based on Online Traffic Information," Transportation Science, INFORMS, vol. 38(4), pages 420-433, November.
    • Handle: RePEc:inm:ortrsc:v:38:y:2004:i:4:p:420-433
    DOI: 10.1287/trsc.1030.0074
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    References listed on IDEAS

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    Cited by:

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    4. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
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    6. Ozbaygin, Gizem & Savelsbergh, Martin, 2019. "An iterative re-optimization framework for the dynamic vehicle routing problem with roaming delivery locations," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 207-235.
    7. Chai, Huajun, 2019. "Dynamic Traffic Routing and Adaptive Signal Control in a Connected Vehicles Environment," Institute of Transportation Studies, Working Paper Series qt9ng3z8vn, Institute of Transportation Studies, UC Davis.
    8. Schmid, Verena & Doerner, Karl F., 2010. "Ambulance location and relocation problems with time-dependent travel times," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1293-1303, December.
    9. Schilde, M. & Doerner, K.F. & Hartl, R.F., 2014. "Integrating stochastic time-dependent travel speed in solution methods for the dynamic dial-a-ride problem," European Journal of Operational Research, Elsevier, vol. 238(1), pages 18-30.
    10. Saint-Guillain, Michael & Paquay, Célia & Limbourg, Sabine, 2021. "Time-dependent stochastic vehicle routing problem with random requests: Application to online police patrol management in Brussels," European Journal of Operational Research, Elsevier, vol. 292(3), pages 869-885.
    11. Wohlgemuth, Sascha & Oloruntoba, Richard & Clausen, Uwe, 2012. "Dynamic vehicle routing with anticipation in disaster relief," Socio-Economic Planning Sciences, Elsevier, vol. 46(4), pages 261-271.
    12. Agatz, Niels A.H. & Fleischmann, Moritz & van Nunen, Jo A.E.E., 2008. "E-fulfillment and multi-channel distribution - A review," European Journal of Operational Research, Elsevier, vol. 187(2), pages 339-356, June.
    13. Turkensteen, Marcel & Klose, Andreas, 2012. "Demand dispersion and logistics costs in one-to-many distribution systems," European Journal of Operational Research, Elsevier, vol. 223(2), pages 499-507.
    14. Le-Anh, T. & de Koster, M.B.M. & Yu, Y., 2006. "Performance Evaluation of Real-time Scheduling Approaches in Vehicle-based Internal Transport Systems," ERIM Report Series Research in Management ERS-2006-063-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    15. Nabila Azi & Michel Gendreau & Jean-Yves Potvin, 2012. "A dynamic vehicle routing problem with multiple delivery routes," Annals of Operations Research, Springer, vol. 199(1), pages 103-112, October.
    16. Pradhananga, Rojee & Taniguchi, Eiichi & Yamada, Tadashi & Qureshi, Ali Gul, 2014. "Bi-objective decision support system for routing and scheduling of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 135-148.
    17. Lang, N.A. & Moonen, J.M. & Srour, F.J. & Zuidwijk, R.A., 2008. "Multi Agent Systems in Logistics: A Literature and State-of-the-art Review," ERIM Report Series Research in Management ERS-2008-043-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    18. Ji, Chenlu & Mandania, Rupal & Liu, Jiyin & Liret, Anne, 2022. "Scheduling on-site service deliveries to minimise the risk of missing appointment times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    19. Abiye Tob-Ogu & Niraj Kumar & John Cullen & Erica E. F. Ballantyne, 2018. "Sustainability Intervention Mechanisms for Managing Road Freight Transport Externalities: A Systematic Literature Review," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    20. Li, Jing-Quan & Mirchandani, Pitu B. & Borenstein, Denis, 2009. "Real-time vehicle rerouting problems with time windows," European Journal of Operational Research, Elsevier, vol. 194(3), pages 711-727, May.
    21. Farzaneh Karami & Wim Vancroonenburg & Greet Vanden Berghe, 2020. "A periodic optimization approach to dynamic pickup and delivery problems with time windows," Journal of Scheduling, Springer, vol. 23(6), pages 711-731, December.
    22. Diego Cattaruzza & Nabil Absi & Dominique Feillet & Jesús González-Feliu, 2017. "Vehicle routing problems for city logistics," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 51-79, March.

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