Analysing Vehicle Routing in Urban Pest Control Using a Cluster-First Route-Second Approach

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dc.contributor.authorAlisan, Yigit
dc.contributor.authorSerin, Faruk
dc.contributor.authorMete, Suleyman
dc.contributor.authorOzceylan, Eren
dc.date.accessioned2025-01-06T17:29:42Z
dc.date.available2025-01-06T17:29:42Z
dc.date.issued2023
dc.description11th International Conference on Information Technology, ICIT 2023 -- 9 August 2023 through 10 August 2023 -- Amman -- 192131
dc.description.abstractInsects are generally characterized as organisms that have negative impacts on both human health and the environment in areas where human habitation exists. These pests typically inhabit and reproduce in locations that contain waste, such as garbage sites, abandoned places, and septic tanks. House flies, for instance, can significantly affect the daily lives of individuals and even prompt widespread epidemics by transmitting diseases to humans. To mitigate the proliferation of pests and minimize their environmental damage, pest control is a crucial responsibility that falls under the jurisdiction of municipalities in Turkey. Municipalities commonly utilize chemical-based methods that are non-hazardous to humans and the environment while concurrently efficacious in exterminating pests or thwarting their reproduction. These chemicals are typically prepared by experts and then applied to the areas in which the pests reside. However, the primary issue that municipalities encounter is the vast expanse of land that needs to be managed, coupled with limited resources in terms of both human labor and equipment, alongside the dispersal of pests' living and breeding locations throughout a broad territory. To address this problem, this study employed the coordinates of previously identified insect nests. These nests were divided into clusters based on predetermined criteria using the k-means method within the municipality borders. Then, utilizing Google or-tools, the distance to be covered by the vehicle for each cluster was calculated. Finally, comparisons were made between the obtained results, and various recommendations were proposed. © 2023 IEEE.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (5220069)
dc.identifier.doi10.1109/ICIT58056.2023.10225915
dc.identifier.endpage646
dc.identifier.isbn979-835032006-0
dc.identifier.scopus2-s2.0-85171759198
dc.identifier.startpage643
dc.identifier.urihttps://doi.org/10.1109/ICIT58056.2023.10225915
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1285
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2023 International Conference on Information Technology: Cybersecurity Challenges for Sustainable Cities, ICIT 2023 - Proceeding
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectinsects
dc.subjectk-means
dc.subjectvehicle routing
dc.titleAnalysing Vehicle Routing in Urban Pest Control Using a Cluster-First Route-Second Approach
dc.typeConference Object

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