利用遗传算法制定有效的低燃料成本巴士司机分配方案

IF 1 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-05-28 DOI:10.1002/tee.24127

Riku Miura, Kimihiro Mizutani

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An Effective Fuel Cost-Less Bus Driver Allocation Scheme by Using Genetic Algorithm

In this paper, we propose a cost-effective driver allocation scheme based on the Genetic Algorithm (GA) aimed at improving fuel efficiency for bus companies. With our evaluations using real bus sensing data, our scheme has demonstrated a significant reduction in running resistance, achieving a 20%–26% decrease compared to current real-world allocations. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

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来源期刊

IEEJ Transactions on Electrical and Electronic Engineering 工程技术-工程：电子与电气

CiteScore

2.70

自引率

10.00%

发文量

199

审稿时长

4.3 months

期刊介绍： IEEJ Transactions on Electrical and Electronic Engineering (hereinafter called TEEE ) publishes 6 times per year as an official journal of the Institute of Electrical Engineers of Japan (hereinafter "IEEJ"). This peer-reviewed journal contains original research papers and review articles on the most important and latest technological advances in core areas of Electrical and Electronic Engineering and in related disciplines. The journal also publishes short communications reporting on the results of the latest research activities TEEE ) aims to provide a new forum for IEEJ members in Japan as well as fellow researchers in Electrical and Electronic Engineering from around the world to exchange ideas and research findings.