Calibration methods for simulation-based 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	2014-03-01T02:01:47Z
dc.date.available	2014-03-01T02:01:47Z
dc.date.issued	2011	en
dc.identifier.issn	02286203	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29253
dc.subject	Calibration	en
dc.subject	Dynamic Traffic Assignment	en
dc.subject	Off-line calibration	en
dc.subject	On-line calibration	en
dc.subject.other	Automated vehicle identifications	en
dc.subject.other	Calibration method	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	Model parameters	en
dc.subject.other	Off-line calibration	en
dc.subject.other	On-line calibration	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	Simulation-based	en
dc.subject.other	Time varying	en
dc.subject.other	Traffic conditions	en
dc.subject.other	Traffic dynamics	en
dc.subject.other	Traffic sensors	en
dc.subject.other	Traffic surveillance	en
dc.subject.other	Transportation demand	en
dc.subject.other	Travel behaviour	en
dc.subject.other	Unified framework	en
dc.subject.other	Calibration	en
dc.subject.other	Differential thermal analysis	en
dc.subject.other	Estimation	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Information management	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	Time varying networks	en
dc.subject.other	Transportation routes	en
dc.subject.other	Computer simulation	en
dc.title	Calibration methods for simulation-based Dynamic Traffic Assignment systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.2316/Journal.205.2011.3.205-5510	en
heal.identifier.secondary	http://dx.doi.org/10.2316/Journal.205.2011.3.205-5510	en
heal.publicationDate	2011	en
heal.abstract	Dynamic Traffic Assignment (DTA) integrates complex transportation demand and network supply simulation models to estimate prevailing traffic conditions, predict future network performance and generate consistent, anticipatory route guidance. Prior to deployment, the DTA's parameters and inputs must be calibrated to accurately reflect travel behaviour and traffic dynamics. This paper presents a unified framework for off-line and on-line DTA calibration. Off-line calibration simultaneously estimates demand and supply model parameters. On-line calibration jointly updates - in real-time - the off-line estimates in order to more accurately capture current conditions. The developed methods are flexible and can be applied to any simulation model and may utilize any available traffic surveillance information (including Automated Vehicle Identification systems, probe vehicles and other emerging data sources). The off-line and on-line components complement each other to efficiently combine historical and 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 from conventional traffic sensors.	en
heal.journalName	International Journal of Modelling and Simulation	en
dc.identifier.doi	10.2316/Journal.205.2011.3.205-5510	en
dc.identifier.volume	31	en
dc.identifier.issue	3	en
dc.identifier.spage	227	en
dc.identifier.epage	233	en