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Information Journal Paper

Title

Electric Vehicle Routing Problem Considering the Dependence of Fuel Consumption at the Load

Author(s)

 Orazani Seyyed Mohammad Hossein | etebari farhad | Issue Writer Certificate 

Pages

  255-276

Abstract

 During recent years, various vehicle routing problem (VRP) models are developed for reducing supply chain transportation costs. Increasing commodities distribution costs and its environmental effects leads to develop the green VRP models. Incorporating electric vehicles in the distribution fleet could result in reduced pollution effects. The main restrictions of these vehicles are battery’ s low charging capacity, long recharging time and availability of recharging stations. On the other hand, the battery consumption is dependent on the fleet weight and therefore, vehicles loading should be considered during creating optimal routing plan. In this paper, vehicles loading weight between customers’ nodes and availability of recharging stations are considered for reducing fuel consumption. The Two-stage heuristic algorithm and simulated annealing (SA) algorithm are developed for solving this problem. Computational results illustrate the efficiency of heuristic algorithm for solving problems within reasonable running time and could be applied for solving large scale problems.

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    APA: Copy

    Orazani, Seyyed Mohammad Hossein, & etebari, farhad. (2019). Electric Vehicle Routing Problem Considering the Dependence of Fuel Consumption at the Load. JOURNAL OF TRANSPORTATION ENGINEERING, 11(1 (42) ), 255-276. SID. https://sid.ir/paper/224068/en

    Vancouver: Copy

    Orazani Seyyed Mohammad Hossein, etebari farhad. Electric Vehicle Routing Problem Considering the Dependence of Fuel Consumption at the Load. JOURNAL OF TRANSPORTATION ENGINEERING[Internet]. 2019;11(1 (42) ):255-276. Available from: https://sid.ir/paper/224068/en

    IEEE: Copy

    Seyyed Mohammad Hossein Orazani, and farhad etebari, “Electric Vehicle Routing Problem Considering the Dependence of Fuel Consumption at the Load,” JOURNAL OF TRANSPORTATION ENGINEERING, vol. 11, no. 1 (42) , pp. 255–276, 2019, [Online]. Available: https://sid.ir/paper/224068/en

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