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Journal Articles INFORMS Journal on Computing Year : 2021

frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem

Abstract

Electric vehicles offer a pathway to more sustainable transportation, but their adoption entails new challenges not faced by their petroleum-based counterparts. One of the most challenging tasks in vehicle routing problems addressing these challenges is determining how to make good charging decisions for an electric vehicle traveling a given route. This is known as the fixed route vehicle charging problem. An exact and efficient algorithm for this task exists, but its implementation is sufficiently complex to deter researchers from adopting it. In this work we introduce frvcpy, an open-source Python package implementing this algorithm. Our aim with the package is to make it easier for researchers to solve electric vehicle routing problems, facilitating the development of optimization tools that may ultimately enable the mass adoption of electric vehicles.
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Dates and versions

hal-02496381 , version 1 (06-03-2020)
hal-02496381 , version 2 (18-10-2020)

Identifiers

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Nicholas D Kullman, Aurélien Froger, Jorge Mendoza, Justin C. Goodson. frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem. INFORMS Journal on Computing, 2021, 33 (4), pp.1277-1283. ⟨10.1287/ijoc.2020.1035⟩. ⟨hal-02496381v2⟩
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