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dc.contributor.authorKababulut, Fevzi Yasin
dc.contributor.authorKuntalp, Damla
dc.contributor.authorAkay, Olcay
dc.contributor.authorDuzenli, Timur
dc.date.accessioned2019-09-01T13:04:24Z
dc.date.available2019-09-01T13:04:24Z
dc.date.issued2018
dc.identifier.issn0353-5320
dc.identifier.issn1848-4069
dc.identifier.urihttps://dx.doi.org/10.7307/ptt.v30i5.2757
dc.identifier.urihttps://hdl.handle.net/20.500.12450/938
dc.descriptionWOS: 000457181600008en_US
dc.description.abstractIntelligent traffic systems attempt to solve the problem of traffic congestion, which is one of the most important environmental and economic issues of urban life. In this study, we approach this problem via prediction of traffic status using past average traveler speed (ATS). Five different algorithms are proposed for predicting the traffic status. They are applied to real data provided by the Traffic Control Center of Istanbul Metropolitan Municipality. Algorithm 1 predicts future ATS on a highway section based on the past speed information obtained from the same road section. The other proposed algorithms, Algorithms 2 through 5, predict the traffic status as fluent, moderately congested, or congested, again using past traffic state information for the same road segment. Here, traffic states are assigned according to predetermined intervals of ATS values. In the proposed algorithms, ATS values belonging to past five consecutive 10-minute time intervals are used as input data. Performances of the proposed algorithms are evaluated in terms of root mean square error (RMSE), sample accuracy, balanced accuracy, and processing time. Although the proposed algorithms are relatively simple and require only past speed values, they provide fairly reliable results with noticeably low prediction errors.en_US
dc.language.isoengen_US
dc.publisherSVENCILISTE U ZAGREBU, FAKULTET PROMETNIH ZNANOSTIen_US
dc.relation.isversionof10.7307/ptt.v30i5.2757en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectATS predictionen_US
dc.subjectvehicle trafficen_US
dc.subjectprediction of traffic statusen_US
dc.titleSIMPLE AND EFFICIENT PREDICTION OF NEAR FUTURE STATE OF TRAFFIC USING ONLY PAST SPEED INFORMATIONen_US
dc.typearticleen_US
dc.relation.journalPROMET-TRAFFIC & TRANSPORTATIONen_US
dc.authoridkuntalp, damla -- 0000-0003-0617-7918;en_US
dc.identifier.volume30en_US
dc.identifier.issue5en_US
dc.identifier.startpage589en_US
dc.identifier.endpage599en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.department-temp[Kababulut, Fevzi Yasin] Minist Transport & Infrastruct, Reg Directorate Cesmebasi Neighborhood 4, Alpaslan Ave 2, Ovaakca Osmangazi, Bursa, Turkey -- [Kuntalp, Damla -- Akay, Olcay] Dokuz Eylul Univ, Dept Elect & Elect Engn, Tinaztepe Campus, TR-35100 Izmir, Turkey -- [Duzenli, Timur] Amasya Univ, Technol Fac, Dept Elect & Elect Engn, A Block,Room A303, TR-05100 Amasya, Turkeyen_US


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