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Ant Colony Optimized Routing Strategy for Electric Vehiclesopen access

Authors
Joo, HyunjinLim, Yujin
Issue Date
Sep-2018
Publisher
WILEY-HINDAWI
Citation
JOURNAL OF ADVANCED TRANSPORTATION
Journal Title
JOURNAL OF ADVANCED TRANSPORTATION
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/4295
DOI
10.1155/2018/5741982
ISSN
0197-6729
Abstract
Electric vehicles (EVs) have recently attracted increasing research interest, on account of environmental issues and diminishing fuel reserves. EVs are environmentally friendly but have a short driving range. EVs must utilize energy efficiently, because they travel with limited energy. Conventional vehicle routing methods are not suitable for EVs, as they do not take energy consumption into account. This study introduces an energy efficient routing method using ant colony optimization (ER-ACO) to maximize the energy efficiency. We simulated ER-ACO and compared it with other ACO techniques, including the conventional routing method and other approaches for EVs. As a result, the proposed model improved the energy efficiency in terms of both the average distance per kW and average energy consumption.
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ICT융합공학부 (IT공학전공)
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