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Research on Urban Distribution Routes Considering the Impact of Vehicle Speed on Carbon Emissions

Author

Listed:
  • Zhiying Yao

    (Logistics Department, Beijing Wuzi University, Beijing 101149, China)

  • Haiqing Cao

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Zhenliang Cui

    (Beijing Ideal Automobile Co., Ltd., Beijing 100039, China)

  • Yuru Wang

    (Logistics Department, Beijing Wuzi University, Beijing 101149, China)

  • Ning Huang

    (Logistics Department, Beijing Wuzi University, Beijing 101149, China)

Abstract

To solve the low-carbon vehicle routing problem (VRP) with sustainable development background, the VRP considering the impact of vehicle speed on carbon emissions is studied. A vehicle routing optimization model aims to minimize the total cost of distribution, penalty cost and carbon emission cost. In the model, the driving time and carbon emissions are calculated on the basis of the varying vehicle speed matching the real road network. Moreover, the improved genetic algorithm is applied to optimize vehicle routing in this paper. Using the Solomon standard datasets, the experimental results validate the carbon emission cost and the total cost from the dynamic road network are lower than those from the static network; furthermore, the carbon emission cost and the total cost from the improved GE algorithm are much lower than those from the general GE algorithm in the dynamic road network. Obviously, the built model and the improved algorithm are more feasible and effective.

Suggested Citation

  • Zhiying Yao & Haiqing Cao & Zhenliang Cui & Yuru Wang & Ning Huang, 2022. "Research on Urban Distribution Routes Considering the Impact of Vehicle Speed on Carbon Emissions," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15827-:d:986567
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    References listed on IDEAS

    as
    1. Ehmke, Jan Fabian & Campbell, Ann Melissa & Thomas, Barrett W., 2016. "Vehicle routing to minimize time-dependent emissions in urban areas," European Journal of Operational Research, Elsevier, vol. 251(2), pages 478-494.
    2. Franceschetti, Anna & Honhon, Dorothée & Van Woensel, Tom & Bektaş, Tolga & Laporte, Gilbert, 2013. "The time-dependent pollution-routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 265-293.
    3. Zhang, Jianghua & Zhao, Yingxue & Xue, Weili & Li, Jin, 2015. "Vehicle routing problem with fuel consumption and carbon emission," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 234-242.
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