Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/731
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dc.contributor.authorMurat, Yetis Sazi-
dc.contributor.authorUludag, Nurcan-
dc.date.accessioned2008-04-04T09:15:44Z-
dc.date.available2008-04-04T09:15:44Z-
dc.date.issued2008-01-
dc.identifier.issn0022-4456-
dc.identifier.urihttp://hdl.handle.net/123456789/731-
dc.description19-27en_US
dc.description.abstractThis study presents route choice model of transportation network in Denizli using fuzzy logic model (FLM), logistic regression model (LRM) and survey-based data. Four important parameters (traffic safety, travel time, congestion and environmental effects) were used in the models. Fuzzy logic concepts are especially used to take note of imprecision, vagueness and uncertainty characteristics of route choice behaviour. FLM is compared with LRMs and encouraging results are obtained with FLM.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.sourceJSIR Vol.67(1) [January 2008]en_US
dc.subjectFuzzy logic methoden_US
dc.subjectLogistic regression methoden_US
dc.subjectRoute choiceen_US
dc.subjectTraffic safetyen_US
dc.subjectTravel timeen_US
dc.titleRoute choice modelling in urban transportation networks using fuzzy logic and logistic regression methodsen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.67(01) [January 2008]

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