scholarly journals A Literature Review on Green and Electric Vehicle Routing Problems and Research Perspectives

2018 ◽  
Vol 17 (3) ◽  
pp. 1041-1053
Author(s):  
Çağrı Koç ◽  
Eren Özceylan
Keyword(s):  
Literature Review ◽  
Vehicle Routing ◽  
Electric Vehicle ◽  
Vehicle Routing Problems ◽  
Routing Problems ◽  
Research Perspectives

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

2021 ◽  
Author(s):  
Nicholas D. Kullman ◽  
Aurelien Froger ◽  
Jorge E. Mendoza ◽  
Justin C. Goodson
Keyword(s):  
Open Source ◽  
Vehicle Routing ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Software Tool ◽  
Sustainable Transportation ◽  
Vehicle Routing Problems ◽  
Routing Problems ◽  
Vehicle Charging ◽  
Community Standard

Electric vehicles offer a pathway to more sustainable transportation, but their adoption entails new challenges not faced by their petroleum-based counterparts. A difficult task 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. Summary of Contribution: This work describes a novel software tool for the vehicle routing community. The tool, frvcpy, addresses one of the primary challenges faced by the vehicle routing community when considering problems involving the adoption of electric vehicles (EVs): how to make optimal charging decisions. The state-of-the-art algorithm for solving these problems is sufficiently complex to deter researchers from using it, leading them to adopt less robust methods. frvcpy offers an easy-to-use, lightweight implementation of this algorithm, providing optimal solutions in low (∼5 ms) runtime. It is designed to be easily embedded in larger solution schemes for general EV routing problems, requiring minimal input, offering compatibility with the community standard file types, and offering access both through the command line and a Python API. The tool has thus far proven adaptable, having been used by researchers studying EV routing problems with novel constraints. Our aim with frvcpy is to make it easier for researchers to solve EV routing problems, facilitating the development of optimization tools that may contribute toward the mass adoption of electric vehicles.

Unmanned aerial vehicles/drones in vehicle routing problems: a literature review

2020 ◽  
Author(s):  
Daniela Rojas Viloria ◽  
Elyn L. Solano‐Charris ◽  
Andrés Muñoz‐Villamizar ◽  
Jairo R. Montoya‐Torres
Keyword(s):  
Literature Review ◽  
Unmanned Aerial Vehicles ◽  
Vehicle Routing ◽  
Vehicle Routing Problems ◽  
Routing Problems ◽  
Aerial Vehicles

Exact Algorithms for Electric Vehicle-Routing Problems with Time Windows

2016 ◽  
Vol 64 (6) ◽  
pp. 1388-1405 ◽  
Author(s):  
Guy Desaulniers ◽  
Fausto Errico ◽  
Stefan Irnich ◽  
Michael Schneider
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Time Windows ◽  
Exact Algorithms ◽  
Vehicle Routing Problems ◽  
Routing Problems
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