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https://hdl.handle.net/11499/7268
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Murat, Yetiş Şazi | - |
dc.contributor.author | Uludağ, Nurcan | - |
dc.date.accessioned | 2019-08-16T12:18:58Z | |
dc.date.available | 2019-08-16T12:18:58Z | |
dc.date.issued | 2008 | - |
dc.identifier.issn | 0022-4456 | - |
dc.identifier.uri | https://hdl.handle.net/11499/7268 | - |
dc.description.abstract | This 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.iso | en | en_US |
dc.relation.ispartof | Journal of Scientific and Industrial Research | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Fuzzy logic method | en_US |
dc.subject | Logistic regression method | en_US |
dc.subject | Route choice | en_US |
dc.subject | Traffic safety | en_US |
dc.subject | Travel time | en_US |
dc.subject | Computer simulation | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Highway traffic control | en_US |
dc.subject | Mathematical models | en_US |
dc.subject | Motor transportation | en_US |
dc.subject | Operations research | en_US |
dc.subject | Regression analysis | en_US |
dc.subject | fuzzy mathematics | en_US |
dc.subject | regression analysis | en_US |
dc.subject | routing | en_US |
dc.subject | traffic management | en_US |
dc.subject | transportation safety | en_US |
dc.subject | travel time | en_US |
dc.subject | urban transport | en_US |
dc.subject | Denizli [Turkey] | en_US |
dc.subject | Eurasia | en_US |
dc.subject | Turkey | en_US |
dc.title | Route choice modelling in urban transportation networks using fuzzy logic and logistic regression methods | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 67 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 19 | |
dc.identifier.startpage | 19 | en_US |
dc.identifier.endpage | 27 | en_US |
dc.authorid | 0000-0002-7033-7026 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-55449125759 | en_US |
dc.identifier.wos | WOS:000252326400002 | en_US |
dc.identifier.scopusquality | Q3 | - |
dc.owner | Pamukkale University | - |
item.openairetype | Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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