Quasidynamic network assignment procedure with transient demand matrices

Tsekeris, T; Stathopoulos, A

dc.contributor.author	Tsekeris, T	en
dc.contributor.author	Stathopoulos, A	en
dc.date.accessioned	2014-03-01T01:23:00Z
dc.date.available	2014-03-01T01:23:00Z
dc.date.issued	2005	en
dc.identifier.issn	0733-947X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16759
dc.subject	Intelligent transportation systems	en
dc.subject	Simulation models	en
dc.subject	Traffic analysis	en
dc.subject	Traffic assignment	en
dc.subject	Transportation networks	en
dc.subject	Travel demand	en
dc.subject	Urban transportation	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Mathematical models	en
dc.subject.other	Monitoring	en
dc.subject.other	Real time systems	en
dc.subject.other	Traffic control	en
dc.subject.other	Urban planning	en
dc.subject.other	Matrix split sequence	en
dc.subject.other	Quasidynamic network assignments (DNA)	en
dc.subject.other	Real time guidance systems	en
dc.subject.other	Urban networks	en
dc.subject.other	Transportation routes	en
dc.subject.other	urban transport	en
dc.title	Quasidynamic network assignment procedure with transient demand matrices	en
heal.type	journalArticle	en
heal.identifier.primary	10.1061/(ASCE)0733-947X(2005)131:2(89)	en
heal.identifier.secondary	http://dx.doi.org/10.1061/(ASCE)0733-947X(2005)131:2(89)	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	This paper presents a simulation-based quasidynamic network assignment (DNA) procedure that facilitates the representation of changes in route choice behavior of users traveling on extended urban networks. The procedure is based on the building of regularly updated transient demand matrices. Its potential to facilitate on-line traffic monitoring of the effects of implementing real-time guidance systems is investigated both theoretically and empirically through testing in real urban network conditions. The DNA model performance is assessed with respect to the assumed origin-destination (O-D) matrix split sequence, the temporal length of updating periods, in which the total assignment period is divided, and the total size of O-D demand. The simulation results indicate the beneficial impact of dynamic optimal path information provision using the DNA model on network performance. The benefits of information updating frequency, ranging from 30 to 5 min, are found to increase with respect to the growing levels of network congestion. © 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(2005)131:2(89)	en
dc.identifier.isi	ISI:000226430800003	en
dc.identifier.volume	131	en
dc.identifier.issue	2	en
dc.identifier.spage	89	en
dc.identifier.epage	100	en