Ant Colony Optimized Routing Strategy for Electric Vehicles

المؤلفون المشاركون

Lim, Yujin
Joo, Hyunjin

المصدر

Journal of Advanced Transportation

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-09-24

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1181438