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Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

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dc.contributor.author Karlaftis, MG en
dc.contributor.author Vlahogianni, EI en
dc.date.accessioned 2014-03-01T01:37:08Z
dc.date.available 2014-03-01T01:37:08Z
dc.date.issued 2011 en
dc.identifier.issn 0968-090X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/21456
dc.subject Neural networks en
dc.subject Statistical models en
dc.subject Transportation research en
dc.subject.classification Transportation Science & Technology en
dc.subject.other Computational intelligence en
dc.subject.other Data analysis en
dc.subject.other Research tools en
dc.subject.other Statistical models en
dc.subject.other Transportation research en
dc.subject.other Data handling en
dc.subject.other Research en
dc.subject.other Neural networks en
dc.subject.other artificial neural network en
dc.subject.other research work en
dc.subject.other statistical analysis en
dc.subject.other transportation system en
dc.title Statistical methods versus neural networks in transportation research: Differences, similarities and some insights en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.trc.2010.10.004 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.trc.2010.10.004 en
heal.language English en
heal.publicationDate 2011 en
heal.abstract In the field of transportation, data analysis is probably the most important and widely used research tool available. In the data analysis universe, there are two 'schools of thought': the first uses statistics as the tool of choice, while the second - one of the many methods from - Computational Intelligence. Although the goal of both approaches is the same, the two have kept each other at arm's length. Researchers frequently fail to communicate and even understand each other's work. In this paper, we discuss differences and similarities between these two approaches, we review relevant literature and attempt to provide a set of insights for selecting the appropriate approach. (C) 2010 Elsevier Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Transportation Research Part C: Emerging Technologies en
dc.identifier.doi 10.1016/j.trc.2010.10.004 en
dc.identifier.isi ISI:000288637400001 en
dc.identifier.volume 19 en
dc.identifier.issue 3 en
dc.identifier.spage 387 en
dc.identifier.epage 399 en


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