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Ant Colony Optimized Routing Strategy for Electric Vehicles
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Joo, Hyunjin& Lim, Yujin. 2018. Ant Colony Optimized Routing Strategy for Electric Vehicles. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181438
Modern Language Association (MLA)
Joo, Hyunjin& Lim, Yujin. Ant Colony Optimized Routing Strategy for Electric Vehicles. Journal of Advanced Transportation No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1181438
American Medical Association (AMA)
Joo, Hyunjin& Lim, Yujin. Ant Colony Optimized Routing Strategy for Electric Vehicles. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181438
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181438