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

Karlaftis, MG; Vlahogianni, EI

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