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Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions

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  • Zongfeng Zou

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Shuangping Kang

    (School of Management, Shanghai University, Shanghai 200444, China)

Abstract

Since accidents of hazardous chemicals transportation will cause serious loss to the surrounding environment and lives and properties, this paper studies the transportation route optimization problem of hazardous chemicals under dynamic time-varying conditions. Combined with the goal of green sustainable development, a multiobjective nonlinear optimization model is constructed to minimize the transportation risk, transportation cost, and carbon emissions generated in the transportation. The model is solved by the improved Fast Non-Dominated Sorting Genetic Algorithm with Elite Strategy (NSGA-II) algorithm. The effectiveness of the model and the algorithm are tested on the Sioux Falls network. The experimental results show that under time-varying conditions, a vehicle’s departure at different times will generate different transportation costs and risks. Therefore, enterprises need to rationally arrange the departure time of vehicles according to the time windows of customer nodes and road conditions. In additio, from the relationship between the optimization objectives, in order to achieve green, sustainable and low-risk transportation, enterprises should first reduce their transportation costs.

Suggested Citation

  • Zongfeng Zou & Shuangping Kang, 2024. "Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions," Sustainability, MDPI, vol. 16(2), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:779-:d:1320355
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    References listed on IDEAS

    as
    1. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    2. Martin Desrochers & Jacques Desrosiers & Marius Solomon, 1992. "A New Optimization Algorithm for the Vehicle Routing Problem with Time Windows," Operations Research, INFORMS, vol. 40(2), pages 342-354, April.
    3. Zahiri, Behzad & Suresh, Nallan C., 2021. "Hub network design for hazardous-materials transportation under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    4. Nasreddine Ouertani & Hajer Ben-Romdhane & Saoussen Krichen, 2022. "A decision support system for the dynamic hazardous materials vehicle routing problem," Operational Research, Springer, vol. 22(1), pages 551-576, March.
    5. Huo Chai & Ruichun He & Ronggui Kang & Xiaoyan Jia & Cunjie Dai, 2023. "Solving Bi-Objective Vehicle Routing Problems with Driving Risk Consideration for Hazardous Materials Transportation," Sustainability, MDPI, vol. 15(9), pages 1-17, May.
    6. Zhang, Yijing & Lu, Linjun & Liu, Qiujia & Hu, Miaoqing, 2023. "Modeling of low-risk behavior of pedestrian movement based on dynamic data analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
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