A Multi-Agent Framework for Scheduling Fully Electrified Public Transport

Satish Sharma (Author)
Somesh Bhattacharya (Speaker)
Deep Kiran (Author)
Brian Azzopardi (Author)
Prandtstetter, M. (Author)
Hu, B. (Author)

Integrated Energy Systems

Activity: Talk or presentation / Lecture › Presentation at a scientific conference / workshop

Period	9 Nov 2022
Event title	13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Event type	Conference
Location	Valetta, MaltaShow on map
Degree of Recognition	International

Research Field

Former Research Field - Integrated Transport Optimisation

Keywords

Public transport
Simulation
Optimization

Documents & Links

This paper describes a framework for scheduling electric buses with the aim of minimizing their overall operational costs as well as the required fleet. The scheduling problem of electric buses comes with several real-time constraints such as the location of the charging stations, number of time-tabled trips, the distance between the depots, etc. The main objective is to minimize the running costs of the electric buses on the road network while satisfying the underlying constraints. The cooperative multi-agent model segregates the scheduling problem into a master agent and a bus agent through asymmetric communication, and this decentralized approach allows the scheduling to happen in a real-time scenario. The proposed scheme is tested on the public transport network of the Maltese Islands.