Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/111786
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dc.contributor.authorSharma, Satish-
dc.contributor.authorBhattacharya, Somesh-
dc.contributor.authorKiran, Deep-
dc.contributor.authorHu, Bin-
dc.contributor.authorPrandtstetter, Matthias-
dc.contributor.authorAzzopardi, Brian-
dc.date.accessioned2023-07-18T08:47:54Z-
dc.date.available2023-07-18T08:47:54Z-
dc.date.issued2023-
dc.identifier.citationSharma, S., Bhattacharya, S., Kiran, D., Hu, B., Prandtstetter, M. & Azzopardi, B. (2023). Optimizing the Scheduling of Electrified Public Transport System in Malta. Energies, 16(13), 5073.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/111786-
dc.description.abstractIn this paper, we describe a comparative analysis of a bus route scheduling problem as part of timetable trips. We consider the current uptake of electric buses as a viable public transportation option that will eventually phase out the diesel-engine-based buses. We note that, with the increasing number of electric buses, the complexity related to the scheduling also increases, especially stemming from the charging requirement and the dedicated infrastructure behind it. The aim of our comparative study is to highlight the brevity with which a multi-agent-system-based scheduling method can be helpful as compared to the classical mixed-integer linear-programming-based approach. The multi-agent approach we design is centralized with asymmetric communication between the master agent, the bus agent, and the depot agent, which makes it possible to solve the multi-depot scheduling problem in almost real time as opposed to the classical optimizer, which sees a multi-depot problem as a combinatorial heuristic NP-hard problem, which, for large system cases, can be computationally inefficient to solve. We test the efficacy of the multi-agent algorithm and also compare the same with the MILP objective designed in harmony with the multi-agent system. We test the comparisons first on a small network and then extend the scheduling application to real data extracted from the public transport of the Maltese Islands.en_GB
dc.language.isoenen_GB
dc.publisherMDPI AGen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectElectric vehicles -- Maltaen_GB
dc.subjectLocal transit -- Maltaen_GB
dc.subjectMultiagent systemsen_GB
dc.subjectBuses, Electricen_GB
dc.subjectSustainable transportation -- Maltaen_GB
dc.titleOptimizing the scheduling of electrified public transport system in Maltaen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.3390/en16135073-
dc.publication.titleEnergiesen_GB
Appears in Collections:Scholarly Works - FacEngEE

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