Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6134
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Aksaç, Alper | - |
dc.contributor.author | Uzun, Erkam | - |
dc.contributor.author | Özyer, Tansel | - |
dc.date.accessioned | 2021-09-11T15:35:02Z | - |
dc.date.available | 2021-09-11T15:35:02Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.issn | 0924-669X | - |
dc.identifier.issn | 1573-7497 | - |
dc.identifier.uri | https://doi.org/10.1007/s10489-011-0290-3 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6134 | - |
dc.description.abstract | Traffic lights are installed at intersections mostly for traffic management. Traffic signals turn on during the amount of time determined. Intelligent traffic management systems emerge as a need to handle the dynamicity of traffic. These systems are first implemented on simulators in order to mimic the real life situations before realization. Yet, we have implemented a real time traffic simulator with an adaptive fuzzy inference algorithm that arranges the foreseen light signal duration. It changes the time duration of lights depending on waiting vehicles behind green and red lights at crossroad. The simulation has also been supported with real time graphical visualization. Given a scenario, it creates random traffic flows according to specified parameters. Next, obtained results have been interpreted in the simulation environment. According to inferences from adaptive environment, TSK (Takagi-Sugeno-Kang) and Mamdani models have also been implemented to give baselines for verification. Several experiments have been conducted and compared against classical techniques such as Webster (1958) Road research technical paper No 39 and HCM (2000) TRB, special report 209, statistically to demonstrate the effectiveness of the proposed method. | en_US |
dc.description.sponsorship | TUBITAK-Scientific and Technical Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [EEEAG 109E241] | en_US |
dc.description.sponsorship | This study was supported by TUBITAK-Scientific and Technical Research Council of Turkey (Grant number EEEAG 109E241). We would like to thank anonymous referees for their insightful comments. In addition, we would like to thank Akif Barbak for his effort at the early stage of implementation. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Applied Intelligence | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Traffic management | en_US |
dc.subject | Adaptive fuzzy inference mechanism | en_US |
dc.subject | Fuzzy rule | en_US |
dc.subject | Fuzzy sets | en_US |
dc.subject | Traffic signal system | en_US |
dc.title | A Real Time Traffic Simulator Utilizing an Adaptive Fuzzy Inference Mechanism by Tuning Fuzzy Parameters | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 36 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.startpage | 698 | en_US |
dc.identifier.endpage | 720 | en_US |
dc.authorid | 0000-0001-5185-7723 | - |
dc.identifier.wos | WOS:000303479800013 | en_US |
dc.identifier.scopus | 2-s2.0-84862129583 | en_US |
dc.institutionauthor | Özyer, Tansel | - |
dc.identifier.doi | 10.1007/s10489-011-0290-3 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q2 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.1. Department of Artificial Intelligence Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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