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Solving Bi-Objective Vehicle Routing Problems with Driving Risk Consideration for Hazardous Materials Transportation

Author

Listed:
  • Huo Chai

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Ruichun He

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Ronggui Kang

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Xiaoyan Jia

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Cunjie Dai

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

Driving behavior is an important factor affecting the risk of hazardous materials transportation. In this paper, we propose a transport risk evaluation method that considers driving risk. We consider driving risk and establish a model of vehicle routing problems with a soft time window for the transportation of hazardous materials and design a non-dominated genetic algorithm to solve the bi-objective optimization model. Taking a network of 23 nodes and 38 road segments as an example, 59 pareto-optimal solutions were obtained for six drivers on nine different paths. Comparing different solutions, it was found that driving risk, road population density, and transportation distance have different impacts on transport cost and risk. Choosing drivers and routes can adjust the propensity of cost and risk, allowing the decision-maker to select a solution for allocating drivers and routing vehicles according to their risk preference.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7619-:d:1140311
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    References listed on IDEAS

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    1. Garrido, Rodrigo A. & Bronfman, Andrés C., 2017. "Equity and social acceptability in multiple hazardous materials routing through urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 244-260.
    2. Erhan Erkut & Vedat Verter, 1998. "Modeling of Transport Risk for Hazardous Materials," Operations Research, INFORMS, vol. 46(5), pages 625-642, October.
    3. George F. List & Pitu B. Mirchandani & Mark A. Turnquist & Konstantinos G. Zografos, 1991. "Modeling and Analysis for Hazardous Materials Transportation: Risk Analysis, Routing/Scheduling and Facility Location," Transportation Science, INFORMS, vol. 25(2), pages 100-114, May.
    4. C D Tarantilis & G Ioannou & C T Kiranoudis & G P Prastacos, 2005. "Solving the open vehicle routeing problem via a single parameter metaheuristic algorithm," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 588-596, May.
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    Cited by:

    1. Zongfeng Zou & Shuangping Kang, 2024. "Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions," Sustainability, MDPI, vol. 16(2), pages 1-24, January.

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