Methodology for validating dynamic Origin-Destination matrix estimation models with implications for Advanced Traveler Information Systems

Stathopoulos, A; Tsekeris, T

dc.contributor.author	Stathopoulos, A	en
dc.contributor.author	Tsekeris, T	en
dc.date.accessioned	2014-03-01T01:22:45Z
dc.date.available	2014-03-01T01:22:45Z
dc.date.issued	2005	en
dc.identifier.issn	0308-1060	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16640
dc.subject	Advanced traveler information systems	en
dc.subject	Dynamic O-D matrices	en
dc.subject	Large-scale urban networks	en
dc.subject	Traffic assignment	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Computer simulation	en
dc.subject.other	Information analysis	en
dc.subject.other	Matrix algebra	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Real time systems	en
dc.subject.other	Advanced traveler information system (ATIS)	en
dc.subject.other	Collective trip structure	en
dc.subject.other	Large-scale transportation	en
dc.subject.other	Loop detector data	en
dc.subject.other	Transportation	en
dc.subject.other	information system	en
dc.subject.other	transportation technology	en
dc.title	Methodology for validating dynamic Origin-Destination matrix estimation models with implications for Advanced Traveler Information Systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/03081060500053368	en
heal.identifier.secondary	http://dx.doi.org/10.1080/03081060500053368	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	This paper describes a methodology for validating online dynamic O-D matrix estimation models using loop detector data in large-scale transportation networks. The simulation procedure focuses on travel aspects related to the collective trip structure of users, including the amount and duration of trips between O-D pairs, trip departure rates, average travel time from each origin and combinations of them. The analysis identifies emerging systematic patterns between these factors and issues related to the model performance, including network scale effects. This procedure aims to enhance the usage of prior O-D information based on, e.g. travel surveys, that are typically used in the estimation process. Moreover, it seeks to integrate the validation of dynamic O-D matrix estimation models with strategies for identifying target population groups for online planning and assessment of real-time travel information services within the context of Advanced Traveler Information Systems (ATIS). © 2005 Taylor & Francis Group Ltd.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	Transportation Planning and Technology	en
dc.identifier.doi	10.1080/03081060500053368	en
dc.identifier.isi	ISI:000228746900002	en
dc.identifier.volume	28	en
dc.identifier.issue	2	en
dc.identifier.spage	93	en
dc.identifier.epage	112	en