Ant Colony Optimized Routing Strategy for Electric Vehicles

Joint Authors

Lim, Yujin
Joo, Hyunjin

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

Civil Engineering

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