Off-line and on-line calibration of dynamic traffic assignment systems

Antoniou, C; Balakrishna, R; Koutsopoulos, HN; Ben-Akiva, M

dc.contributor.author	Antoniou, C	en
dc.contributor.author	Balakrishna, R	en
dc.contributor.author	Koutsopoulos, HN	en
dc.contributor.author	Ben-Akiva, M	en
dc.date.accessioned	2014-03-01T02:52:05Z
dc.date.available	2014-03-01T02:52:05Z
dc.date.issued	2009	en
dc.identifier.issn	14746670	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35830
dc.subject	Calibration	en
dc.subject	Dynamic traffic assignment	en
dc.subject	Off-line	en
dc.subject	On-line	en
dc.subject.other	Automated vehicle identifications	en
dc.subject.other	Data source	en
dc.subject.other	Demand and supply	en
dc.subject.other	Density data	en
dc.subject.other	Dynamic network	en
dc.subject.other	Dynamic traffic assignment	en
dc.subject.other	Dynamic traffic assignments	en
dc.subject.other	Loop detector	en
dc.subject.other	Model parameters	en
dc.subject.other	Off-line	en
dc.subject.other	On-line	en
dc.subject.other	On-line calibration	en
dc.subject.other	Parameter values	en
dc.subject.other	Probe vehicles	en
dc.subject.other	Real-time information	en
dc.subject.other	Route guidance	en
dc.subject.other	Simulation model	en
dc.subject.other	Time varying	en
dc.subject.other	Traffic conditions	en
dc.subject.other	Traffic dynamics	en
dc.subject.other	Traffic surveillance	en
dc.subject.other	Transportation demand	en
dc.subject.other	Travel behaviors	en
dc.subject.other	Two-component	en
dc.subject.other	Calibration	en
dc.subject.other	Computer simulation	en
dc.subject.other	Differential thermal analysis	en
dc.subject.other	Highway traffic control	en
dc.subject.other	License plates (automobile)	en
dc.subject.other	Motor transportation	en
dc.subject.other	Network management	en
dc.subject.other	Network performance	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Time varying networks	en
dc.subject.other	Information management	en
dc.title	Off-line and on-line calibration of dynamic traffic assignment systems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.3182/20090902-3-US-2007.0056	en
heal.identifier.secondary	http://dx.doi.org/10.3182/20090902-3-US-2007.0056	en
heal.publicationDate	2009	en
heal.abstract	Dynamic traffic assignment (DTA) systems integrate complex transportation demand and network supply simulation models to estimate current traffic conditions, predictfuture network performance and generate consistent, anticipatory route guidance. Before they are applied, DTA system parameters and inputs must be calibrated to accurately reect travel behavior and traffic dynamics. This paper presents a systematic approach that unifies the offline and on-line calibration of DTA systems through a common framework. Off-line calibration simultaneously estimates demand and supply model parameters. The on-line calibration jointly updates in real-time the demand and supply parameter values estimated during the of-line step to better reect prevailing conditions. The methods are general and can utilize any available traffic surveillance information (including emerging data sources, such as Automated Vehicle Identification systems or probe vehicles). The two components complement each other so that the calibration of the DTA system parameters efficiently utilizes both historical as well as real-time information. The calibration approaches are demonstrated with DynaMIT (Dynamic network assignment for the Management of Information to Travelers), using time-varying count, speed and density data obtained from standard loop detectors. © 2009 IFAC.	en
heal.journalName	IFAC Proceedings Volumes (IFAC-PapersOnline)	en
dc.identifier.doi	10.3182/20090902-3-US-2007.0056	en
dc.identifier.spage	104	en
dc.identifier.epage	111	en