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Minimum cost path problem for Plug-in Hybrid Electric Vehicles

Okan Arslan, Barış Yıldız and Oya Ekin Karaşan

Transportation Research Part E: Logistics and Transportation Review, 2015, vol. 80, issue C, 123-141

Abstract: We introduce a practically important and theoretically challenging problem: finding the minimum cost path for PHEVs in a road network with refueling and charging stations. We show that this problem is NP-complete and present a mixed integer quadratically constrained formulation, a discrete approximation dynamic programming heuristic, and a shortest path heuristic as solution methodologies. Practical applications of the problem in transportation and logistics, considering specifically the long-distance trips, are discussed in detail. Through extensive computational experiments, significant insights are provided. In addition to the charging infrastructure availability, a driver’s stopping tolerance arises as another critical factor affecting the transportation costs.

Keywords: Dynamic programming; Integer programming; Routing; Long-distance trips; Energy management (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (20)

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DOI: 10.1016/j.tre.2015.05.011

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Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

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