Treating uncertain demand information in origin-destination matrix estimation with traffic counts

Tsekeris, T; Stathopoulos, A

dc.contributor.author	Tsekeris, T	en
dc.contributor.author	Stathopoulos, A	en
dc.date.accessioned	2014-03-01T01:29:25Z
dc.date.available	2014-03-01T01:29:25Z
dc.date.issued	2008	en
dc.identifier.issn	0733-947X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19254
dc.subject	Algorithms	en
dc.subject	Estimation	en
dc.subject	Intelligent transportation systems	en
dc.subject	Traffic surveys	en
dc.subject	Traffic volume	en
dc.subject	Transportation networks	en
dc.subject	Travel demand	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Estimation	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.subject.other	Internet	en
dc.subject.other	Real time systems	en
dc.subject.other	Transportation	en
dc.subject.other	Vehicle locating systems	en
dc.subject.other	Algorithms	en
dc.subject.other	Case studies	en
dc.subject.other	Computing speed	en
dc.subject.other	Demand information	en
dc.subject.other	Fast estimation	en
dc.subject.other	Intelligent transportation systems	en
dc.subject.other	Large-scale transportation	en
dc.subject.other	Network sizes	en
dc.subject.other	Network traffics	en
dc.subject.other	O-D matrices	en
dc.subject.other	Optimization algorithms	en
dc.subject.other	Origin-destination matrix estimation	en
dc.subject.other	Origin-destination trip matrices	en
dc.subject.other	Real-time monitoring	en
dc.subject.other	Temporal distributions	en
dc.subject.other	Traffic counts	en
dc.subject.other	Traffic surveys	en
dc.subject.other	Traffic volume	en
dc.subject.other	Transportation networks	en
dc.subject.other	Travel demand	en
dc.subject.other	Uncertain demands	en
dc.subject.other	Upper bound constraints	en
dc.subject.other	Matrix algebra	en
dc.subject.other	algorithm	en
dc.subject.other	estimation method	en
dc.subject.other	optimization	en
dc.subject.other	real time	en
dc.subject.other	temporal distribution	en
dc.subject.other	traffic management	en
dc.subject.other	transportation system	en
dc.subject.other	travel demand	en
dc.subject.other	uncertainty analysis	en
dc.title	Treating uncertain demand information in origin-destination matrix estimation with traffic counts	en
heal.type	journalArticle	en
heal.identifier.primary	10.1061/(ASCE)0733-947X(2008)134:8(327)	en
heal.identifier.secondary	http://dx.doi.org/10.1061/(ASCE)0733-947X(2008)134:8(327)	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	This paper investigates the problem of estimating dynamic origin-destination (O-D) trip matrices in large-scale transportation networks, using automatic link traffic counts and uncertain prior demand information, to facilitate the real-time monitoring of network traffic conditions through intelligent transportation systems. The paper proposes and evaluates the performance of two algorithms to estimate the temporal distribution of trip departures used to produce dynamic O-D matrices, through several test experimentations in a real case study. The accuracy and the computing speed of the proposed algorithms is investigated in relation to different bounds, wherein trip departure estimates are sought to be included, levels of link count availability and network sizes. Results show that an optimization algorithm proposed for the fast estimation of trip departure rates with incorporated lower and upper bound constraints lead to dynamic O-D matrices with considerably increased reliability, in comparison to the algorithm that intrinsically excludes demand constraints. © 2008 ASCE.	en
heal.publisher	ASCE-AMER SOC CIVIL ENGINEERS	en
heal.journalName	Journal of Transportation Engineering	en
dc.identifier.doi	10.1061/(ASCE)0733-947X(2008)134:8(327)	en
dc.identifier.isi	ISI:000257764100002	en
dc.identifier.volume	134	en
dc.identifier.issue	8	en
dc.identifier.spage	327	en
dc.identifier.epage	337	en