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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 |
Files in This Item:
File | Description | Size | Format | |
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A multi agent framework for scheduling fully electrified public transport 2022.pdf Restricted Access | 915.17 kB | Adobe PDF | View/Open Request a copy |
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