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Sustainability Oriented Vehicle Route Planning Based on Time-Dependent Arc Travel Durations

Author

Listed:
  • Xianlong Ge

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yuanzhi Jin

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
    Department of Computer Technology and Information Engineering, Sanmenxia Polytechnic, Sanmenxia 472000, China)

Abstract

Traffic congestion has become a growing concern in cities, with both economic and environmental impacts on both individuals and the logistics industry. Therefore, a model of freight distribution in urban areas considering economic and environmental objectives needs to be established to alleviate the consequences. In this paper, a multi-stage heuristic algorithm is designed for solving the route planning based on time-dependent arc travel durations. The algorithm includes a savings method, a modified tabu search heuristic and a cycle transforming optimization (CTO) algorithm. Benchmark instances and the case of Jingdong, one of the largest e-commerce platforms in China, have been adopted to verify the accuracy and feasibility of the model and algorithm. Results of the performance test reveal that the designed algorithm is suitable for addressing large-scale instances. Based on the single objective models, two objectives referring to economical-related and environmental-related factors are considered in the proposed sustainability oriented bi-objective model, and a modified solution framework using a multi-objective decision making method with a relaxation coefficient which is designed for addressing the bi-objective model. Finally, the time-dependent arc travel durations based on real-time traffic information have been incorporated into the optimization algorithms, simulation of distribution process and dynamic route updating strategy, which can reduce costs and route-associated emissions of logistics companies.

Suggested Citation

  • Xianlong Ge & Yuanzhi Jin, 2023. "Sustainability Oriented Vehicle Route Planning Based on Time-Dependent Arc Travel Durations," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3208-:d:1063566
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    References listed on IDEAS

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    1. Schmidt, Carise E. & Silva, Arinei C.L. & Darvish, Maryam & Coelho, Leandro C., 2023. "Time-dependent fleet size and mix multi-depot vehicle routing problem," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Pedro Munari & Alfredo Moreno & Jonathan De La Vega & Douglas Alem & Jacek Gondzio & Reinaldo Morabito, 2019. "The Robust Vehicle Routing Problem with Time Windows: Compact Formulation and Branch-Price-and-Cut Method," Transportation Science, INFORMS, vol. 53(4), pages 1043-1066, July.
    3. Qian, Jiani & Eglese, Richard, 2016. "Fuel emissions optimization in vehicle routing problems with time-varying speeds," European Journal of Operational Research, Elsevier, vol. 248(3), pages 840-848.
    4. Alexandre M. Florio & Richard F. Hartl & Stefan Minner, 2020. "New Exact Algorithm for the Vehicle Routing Problem with Stochastic Demands," Transportation Science, INFORMS, vol. 54(4), pages 1073-1090, July.
    5. Ichoua, Soumia & Gendreau, Michel & Potvin, Jean-Yves, 2003. "Vehicle dispatching with time-dependent travel times," European Journal of Operational Research, Elsevier, vol. 144(2), pages 379-396, January.
    6. Huang, Yixiao & Zhao, Lei & Van Woensel, Tom & Gross, Jean-Philippe, 2017. "Time-dependent vehicle routing problem with path flexibility," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 169-195.
    7. Fernando Afonso Santos & Geraldo Robson Mateus & Alexandre Salles da Cunha, 2015. "A Branch-and-Cut-and-Price Algorithm for the Two-Echelon Capacitated Vehicle Routing Problem," Transportation Science, INFORMS, vol. 49(2), pages 355-368, May.
    8. A N Letchford & J Lysgaard & R W Eglese, 2007. "A branch-and-cut algorithm for the capacitated open vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1642-1651, December.
    9. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    10. Jonathan De La Vega & Pedro Munari & Reinaldo Morabito, 2019. "Robust optimization for the vehicle routing problem with multiple deliverymen," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 905-936, December.
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    Cited by:

    1. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Environmental Sustainability within Attaining Sustainable Development Goals: The Role of Digitalization and the Transport Sector," Sustainability, MDPI, vol. 15(14), pages 1-14, July.

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