Modeling freeway travel speed across lanes: A vector autoregressive approach

Vlahogianni, EI; Karlaftis, MG; Kopelias, P

dc.contributor.author	Vlahogianni, EI	en
dc.contributor.author	Karlaftis, MG	en
dc.contributor.author	Kopelias, P	en
dc.date.accessioned	2014-03-01T02:46:52Z
dc.date.available	2014-03-01T02:46:52Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32908
dc.subject	Arima Model	en
dc.subject	System of Equations	en
dc.subject	Time Series	en
dc.subject	vector autoregression	en
dc.subject.other	ARIMA models	en
dc.subject.other	Auto-regressive	en
dc.subject.other	Bayesian	en
dc.subject.other	Commonly used	en
dc.subject.other	Exogenous variables	en
dc.subject.other	Methodological frameworks	en
dc.subject.other	Precipitation level	en
dc.subject.other	System of equations	en
dc.subject.other	Traffic mix	en
dc.subject.other	Travel speed	en
dc.subject.other	Automobiles	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Time series	en
dc.subject.other	Traffic control	en
dc.subject.other	Speed	en
dc.title	Modeling freeway travel speed across lanes: A vector autoregressive approach	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITSC.2010.5625059	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITSC.2010.5625059	en
heal.identifier.secondary	5625059	en
heal.publicationDate	2010	en
heal.abstract	Time series of travel speed on multilane freeways are considered complex and irregular particularly when addressing the variability across lanes. Literature shows evidence of interactions between speed variability and traffic mix and inclement weather, without extending these results to addressing speed predictability across lanes. We propose the development of a Bayesian system of equations in order to concurrently treat time series collected from each lane in an autoregressive methodological framework. Exogenous variables such as volume, percentage of trucks per lane, as well as precipitation levels are integrated into the model. The proposed approach improves on the predictability of travel speeds across lanes over the commonly used ARIMA models. ©2010 IEEE.	en
heal.journalName	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC	en
dc.identifier.doi	10.1109/ITSC.2010.5625059	en
dc.identifier.spage	569	en
dc.identifier.epage	574	en