Prediction of skid resistance coefficient of cement concrete roads with fuzzy logic

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dc.contributor.authorUstuntas, Taner
dc.date.accessioned2020-03-26T17:17:57Z
dc.date.available2020-03-26T17:17:57Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAfter new developments in the car industry, the car speeds have increased very quickly, and the skid resistance of the roads has become very important from the safety point of view. The main goal of this article is to predict the skid resistance coefficient of cement concrete road surfaces at any speed using the fuzzy logic approach. The definition of skid resistance is made in the beginning. Then, the effects of road surface characteristics, mainly macrotexture and microtexture properties, on the skid resistance behavior of cement concrete road surfaces are explained. After, the data collected from the microtexture of different cement concrete road pavements measured by image processing and the macrotexture of cement concrete road pavements measured by Laser Profilometer are used to analyze skid resistance behavior of all kinds of cement concrete roads. For prediction, the multiple linear regression analysis is applied first, and then the fuzzy logic is used for the prediction of the skid resistance coefficient of cement concrete road surfaces secondly. Finally, it was shown that the fuzzy logic model (FLM) more precisely predicts the skid resistance coefficient of cement concrete road surfaces better than multiple linear regression analysis. It is possible to emphasize that there is a strong relation between cement concrete road surface characteristics mainly macrotexture and microtexture and skid resistance coefficient. The skid resistance coefficient of cement concrete surfaces at any vehicle speed and safety level of road surface can be predicted using the FLM.en_US
dc.identifier.doi10.1080/10286600601154744en_US
dc.identifier.endpage246en_US
dc.identifier.issn1028-6608en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage233en_US
dc.identifier.urihttps://dx.doi.org/10.1080/10286600601154744
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21545
dc.identifier.volume24en_US
dc.identifier.wosWOS:000249153900004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTAYLOR & FRANCIS LTDen_US
dc.relation.ispartofCIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectskid resistance coefficienten_US
dc.subjectcement concrete road surfaceen_US
dc.subjectfuzzy logicen_US
dc.subjectimage processingen_US
dc.titlePrediction of skid resistance coefficient of cement concrete roads with fuzzy logicen_US
dc.typeArticleen_US

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