Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/109468
Title: A multi-agent framework for scheduling fully electrified public transport
Authors: Sharma, Satish
Bhattacharya, Somesh
Kiran, Deep
Hu, Bin
Prandtstetter, Matthias
Azzopardi, Brian
Keywords: Buses, Electric -- Power supply
Transportation -- Management -- Malta
Electric power systems -- Management -- Planning
Bus lines -- Economic aspects -- Malta
Issue Date: 2022
Publisher: IET
Citation: Sharma, S., Bhattacharya, S., Kiran, D., Hu, B., Prandtstetter, M., & Azzopardi, B. (2022, November). A multi-agent framework for scheduling fully electrified public transport. 13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022), Valletta. Doi: 10.1049/icp.2023.0057
Abstract: This paper presents a multi-agent framework for planning and scheduling electric buses to minimise the required fleet and their overall operational costs. This scheduling problem comes with several real-time constraints, such as the location of the charging hubs, the number of timetabled trips, the distance between the depots and stops, etc. To satisfy these constraints, a cooperative multi-agent framework is designed by segregating the scheduling problem into three agents, i.e., master, depot and bus agents. These agents establish asymmetric communication with each other to perform scheduling in a decentralised manner in a real-time scenario. The proposed scheme is tested on the practical public transport network of the Maltese Islands.
URI: https://www.um.edu.mt/library/oar/handle/123456789/109468
Appears in Collections:Scholarly Works - FacEngEE

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