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Issue title: Design of Intelligent Environment
Guest editors: Toyohide Watanebex and Lakhmi C. Jainy
Article type: Research Article
Authors: Mukai, Naotoa; * | Kawamura, Kosukeb
Affiliations: [a] Department of Electrical Engineering, Faculty of Engineering, Division 1, Tokyo University of Science, Kudankita, Chiyoda-ku, Tokyo, Japan | [b] Department of Electrical Engineering, Graduate School of Engineering, Tokyo University of Science, Kudankita, Chiyoda-ku, Tokyo, Japan | [x] Department of Systems and Social Informatics, Graduate School of Information Science, Nagoya University. Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan | [y] School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus, South Australia 5095, Australia
Correspondence: [*] Corresponding author. E-mail: mukai@ee.kagu.tus.ac.jp
Abstract: In this paper, we focus on a new transport system called on-demand bus system which is introduced on a trial basis to local cities in Japan. In the system, share-ride buses transport customers door-to-door according to user's requests. A user can specify the position and time to get the bus in the service area, thus the on-demand bus is more flexible and profitable system compared to traditional transport systems (i.e., fixed route bus). Electrical vehicles are also attracting attention as a new transportation device in these years. The electric vehicles are environmentally friendly because they produce zero emissions and do not pollute the air. However, there is some issues to be solved for practical use of electrical vehicles, i.e., the price of charger and the mileage per charge. Therefore, we adopt an evolutionary approach to solve a path optimization problem for the on-demand bus with electrical vehicles. It is very important to reduce the amount of recharge time for effective operation of electrical vehicles. An evolutionary algorithm minimizes the traveling distance of vehicles by a mutation operation (i.e., the exchange of sub-routes of vehicles) in order to reduce the amount of recharge time. We will show some comparison experiments by computer simulation, and show the performance of our algorithm for the on-demand bus with electrical vehicles.
Keywords: On-demand bus system, electrical vehicles, evolutionary algorithm, battery charge
DOI: 10.3233/IDT-2010-0092
Journal: Intelligent Decision Technologies, vol. 4, no. 4, pp. 307-314, 2010
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