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Intelligent Transport Systems. 6th EAI International Conference, INTSYS 2022, Lisbon, Portugal, December 15-16, 2022, Proceedings

Research Article

Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System

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  • @INPROCEEDINGS{10.1007/978-3-031-30855-0_14,
        author={Setyo Tri Windras Mara and Saber Elsayed and Daryl Essam and Ruhul Sarker},
        title={Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System},
        proceedings={Intelligent Transport Systems. 6th EAI International Conference, INTSYS 2022, Lisbon, Portugal, December 15-16, 2022, Proceedings},
        proceedings_a={INTSYS},
        year={2023},
        month={4},
        keywords={Electric vehicle routing problem Last-mile logistics Drones Decomposition Matheuristic},
        doi={10.1007/978-3-031-30855-0_14}
    }
    
  • Setyo Tri Windras Mara
    Saber Elsayed
    Daryl Essam
    Ruhul Sarker
    Year: 2023
    Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System
    INTSYS
    Springer
    DOI: 10.1007/978-3-031-30855-0_14
Setyo Tri Windras Mara1,*, Saber Elsayed1, Daryl Essam1, Ruhul Sarker1
  • 1: School of Engineering and Information Technology, University of New South Wales, Canberra
*Contact email: s.windras_mara@adfa.edu.au

Abstract

This study explores a new research direction on the cooperation between electric vehicles (EVs) and drones in last-mile logistics in the form ofelectric vehicle routing problem with drones(E-VRPD). The primary objective of E-VRPD is to find an optimal vehicle tour to minimize the total completion time to deliver parcels to a set of customer nodes using a set of EVs, each equipped with a single drone. Due to the importance of such problems and the lack of existing techniques, in this work, we develop a sequential decomposition algorithm with an improvement phase to solve E-VRPD. This algorithm involves the development of a mathematical formulation for inserting drone sorties into an EV tour, leading to amatheuristicalgorithm. The proposed method is evaluated on a set of instances involving up to 40 customers and 7 recharging nodes, with the experimental results showing the effectiveness and relevancy of E-VRPD.

Keywords
Electric vehicle routing problem Last-mile logistics Drones Decomposition Matheuristic
Published
2023-04-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-30855-0_14
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