The dial-a-ride problem with electric vehicles and battery swapping stations

Mohamed Amine Masmoudi, Manar Hosny, Emrah Demir, Konstantinos N. Genikomsakis and Naoufel Cheikhrouhou

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 118, issue C, 392-420

Abstract: The Dial-a-Ride Problem (DARP) consists of designing vehicle routes and schedules for customers with special needs and/or disabilities. The DARP with Electric Vehicles and battery swapping stations (DARP-EV) concerns scheduling a fleet of EVs to serve a set of pre-specified transport requests during a certain planning horizon. In addition, EVs can be recharged by swapping their batteries with charged ones from any battery-swap stations. We propose three enhanced Evolutionary Variable Neighborhood Search (EVO-VNS) algorithms to solve the DARP-EV. Extensive computational experiments highlight the relevance of the problem and confirm the efficiency of the proposed EVO-VNS algorithms in producing high quality solutions.

Keywords: Electric vehicle; Dial-a-ride problem; Battery swapping; Evolutionary variable neighborhood search metaheuristic algorithm (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (28)

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DOI: 10.1016/j.tre.2018.08.005

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