Determination of Efficient Green Wave Corridors in The Transportation Network with The Community Detection Method

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dc.authoridOztemiz, Furkan/0000-0001-5425-3474
dc.authorwosidOztemiz, Furkan/KOD-2246-2024
dc.contributor.authorOztemiz, Furkan
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:57:37Z
dc.date.available2024-08-04T20:57:37Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractSignaling systems play an important role in managing urban transport networks. Optimizing signaling systems significantly reduces traffic density in transport networks. One of the popular methods applied to increase the efficiency of the signaling system is the green wave application, which means the coordinated operation of the signaling systems. The green wave system prevents vehicles from being repeatedly caught in red light, reducing travel time, waiting time on the roads and carbon emissions of vehicles. The problem that will arise at this point is on which intersection points the green wave system will be applied. In this study, vehicle counting and signaling data of the city of Malatya were used and the transportation network data was converted into a weighted graph. By applying the walktrap community detection algorithm to the transportation network, the intersection points are grouped according to the vehicle transition similarities on them. It was applied to the green wave system physically for the intersection points in 2 different groups determined. The results show that there are significant increases in the number of vehicles passing per unit time in the regions where green waves are applied. This situation has resulted in a decrease in the number of vehicles waiting at red lights and significant reductions in carbon emissions from stationary vehicles into the atmosphere.en_US
dc.identifier.endpage45en_US
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.issue1en_US
dc.identifier.startpage35en_US
dc.identifier.urihttps://hdl.handle.net/11616/102791
dc.identifier.volume27en_US
dc.identifier.wosWOS:001193305900001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherGazi Univen_US
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGreen waveen_US
dc.subjectcommunity detection algorithmsen_US
dc.subjectwalktrap algorithmsen_US
dc.subjectsignaling systemsen_US
dc.subjecttransportation networken_US
dc.titleDetermination of Efficient Green Wave Corridors in The Transportation Network with The Community Detection Methoden_US
dc.typeArticleen_US

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