Calibration of microscopic traffic simulation models: Methods and application

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

dc.contributor.author	Balakrishna, R	en
dc.contributor.author	Antoniou, C	en
dc.contributor.author	Ben-Akiva, M	en
dc.contributor.author	Koutsopoulos, HN	en
dc.contributor.author	Wen, Y	en
dc.date.accessioned	2014-03-01T01:26:00Z
dc.date.available	2014-03-01T01:26:00Z
dc.date.issued	2007	en
dc.identifier.issn	0361-1981	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17865
dc.subject	Microscopic Traffic Simulation	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Transportation	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Mathematical frameworks	en
dc.subject.other	Microscopic traffic simulation	en
dc.subject.other	Traffic measurements	en
dc.subject.other	Calibration	en
dc.subject.other	Computer simulation	en
dc.subject.other	Decision theory	en
dc.subject.other	Mathematical models	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Time varying systems	en
dc.subject.other	Street traffic control	en
dc.title	Calibration of microscopic traffic simulation models: Methods and application	en
heal.type	journalArticle	en
heal.identifier.primary	10.3141/1999-21	en
heal.identifier.secondary	http://dx.doi.org/10.3141/1999-21	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	A mathematical framework and a solution approach are presented for the simultaneous calibration of the demand and supply parameters and inputs to microscopic traffic simulation models as well as a large-scale application emphasizing practical issues. Microscopic traffic simulation models provide detailed estimates of evolving network conditions by modeling time-varying demand patterns and individual drivers' detailed behavioral decisions. Such models are composed of elements that simulate different demand and supply processes and their complex interactions. Several model inputs (such as origin-destination flows) and parameters (car-following and lane-changing coefficients) must be specified before these simulation tools can be applied, and their values must be determined so that the simulation output accurately replicates the reality reflected in traffic measurements. A methodology is presented here for simultaneously estimating all microscopic simulation model parameters by using general traffic measurements. A large-scale case study for the calibration of the MITSimLab microscopic traffic simulation model by using the network of Lower Westchester County, New York, is employed to demonstrate the feasibility, application, and benefits of the proposed methodology.	en
heal.publisher	NATL ACAD SCIENCES	en
heal.journalName	Transportation Research Record	en
dc.identifier.doi	10.3141/1999-21	en
dc.identifier.isi	ISI:000252733200022	en
dc.identifier.issue	1999	en
dc.identifier.spage	198	en
dc.identifier.epage	207	en