Publication:
Vehicle Route Optimization for Solid Waste Management: A Case Study of Maltepe, Istanbul

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dc.contributor.authorsAkdas H.S., Demir O., Dogan B., Bas A., Uslu B.C.
dc.date.accessioned2022-03-15T02:16:34Z
dc.date.accessioned2026-01-11T15:41:51Z
dc.date.available2022-03-15T02:16:34Z
dc.date.issued2021
dc.description.abstractSolid waste management, which includes collection, transportation, disposal and recycling, is a critical environmental issue increasing in severity due to industrialization, urban population growth and consumption. In this study, we present a vehicle routing approach based on the ant colony optimization algorithm. We work on the real-world data of Maltepe Municipality, Istanbul, Turkey. The experimental results show that we estimate the shortest route path with 13% efficiency compared to the existing route. We believe this would play an important role in solid waste management, help reduce costs as well as provide fast and efficient waste collection for local municipalities. © 2021 IEEE.
dc.identifier.doi10.1109/ECAI52376.2021.9515129
dc.identifier.isbn9781665425346
dc.identifier.urihttps://hdl.handle.net/11424/248235
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings of the 13th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2021
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectant colony optimization algorithm
dc.subjectsolid waste
dc.subjectvehicle routing
dc.titleVehicle Route Optimization for Solid Waste Management: A Case Study of Maltepe, Istanbul
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.titleProceedings of the 13th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2021

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