Spatial distribution of urban trips in recently expanded Surat city through Fuzzy Logic with various clustering Techniques: A case study of typical metropolitan city in India

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dc.contributor.authorSalini PS
dc.contributor.authorKedia A
dc.contributor.authorDhulipala S
dc.contributor.authorSaw K
dc.contributor.authorKatti BK
dc.date.accessioned2020-02-23T20:41:55Z
dc.date.available2020-02-23T20:41:55Z
dc.date.issued2017en
dc.date.updated2020-01-10T03:09:01Z
dc.description.abstractTrip distribution finds prime place after trip generation in sequential modelling of travel demand to cover the spatial dimensions in a geographical area, to reflect on trip length and frequency. It provides the basis for strategic land use and transport infrastructure development both at local and regional levels. Trip distribution problems in the real world are quite complex with association of uncertainty in the decision making and therefore calls for an unorthodox approach to deal with the concerned issue. Soft computing technique - Fuzzy Logic (FL) is believed to be capable of addressing the uncertainty lying in the travellers’ behaviour and has been sought to develop realistic behavioural models in the recent years. FL takes into account linguistic variables and is based on simple and logical “IF-THEN” rules which closely resemble human thought process. Fuzzy Logic based trip distribution models are developed employing Fuzzy C-mean (FCM) clustering, and are compared for their performance with the Genfis based approach, where a Sugeno-type Fuzzy Inference System (FIS) is generated using Subtractive clustering. Surat, a fast growing metropolitan city in India is considered to realize the study. The models developed here, find applications in strategic land-use and transport planning for developing Indian cities.en
dc.identifier.citationSalini PS, Kedia A, Dhulipala S, Saw K, Katti BK (2017). Spatial distribution of urban trips in recently expanded Surat city through Fuzzy Logic with various clustering Techniques: A case study of typical metropolitan city in India. Transportation Research Procedia. 25. 2396-2407.en
dc.identifier.doihttps://doi.org/10.1016/j.trpro.2017.05.245
dc.identifier.issn2352-1465
dc.identifier.urihttp://hdl.handle.net/10092/18395
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier BVen
dc.subjectTravel demand estimationen
dc.subjectTrip distributionen
dc.subjectFuzzy Logicen
dc.subjectFuzzy C mean clusteringen
dc.subjectSubtractive clusteringen
dc.subjectGenfisen
dc.subject.anzsrcField of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080108 - Neural, Evolutionary and Fuzzy Computationen
dc.subject.anzsrcFields of Research::46 - Information and computing sciences::4602 - Artificial intelligence::460207 - Modelling and simulationen
dc.subject.anzsrcFields of Research::40 - Engineering::4005 - Civil engineering::400512 - Transport engineeringen
dc.titleSpatial distribution of urban trips in recently expanded Surat city through Fuzzy Logic with various clustering Techniques: A case study of typical metropolitan city in Indiaen
dc.typeJournal Articleen
uc.departmentCivil and Natural Resources Engineering
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