A methodology for the estimation of traffic and related impacts of advanced driver assistance systems

Golias, J; Antoniou, C; Yannis, G

dc.contributor.author	Golias, J	en
dc.contributor.author	Antoniou, C	en
dc.contributor.author	Yannis, G	en
dc.date.accessioned	2014-03-01T01:17:21Z
dc.date.available	2014-03-01T01:17:21Z
dc.date.issued	2002	en
dc.identifier.issn	1024-8072	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14483
dc.subject	Adaptive cruise control	en
dc.subject	Advanced driver assistance systems	en
dc.subject	Simulation	en
dc.subject	Traffic efficiency	en
dc.subject	Traffic models	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Adaptive control systems	en
dc.subject.other	Automobile drivers	en
dc.subject.other	Computer simulation	en
dc.subject.other	Mathematical models	en
dc.subject.other	Motor transportation	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Adaptive cruise control	en
dc.subject.other	Advanced Driver Assistance Systems (ADAS)	en
dc.subject.other	Traffic efficiency	en
dc.subject.other	Traffic models	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.title	A methodology for the estimation of traffic and related impacts of advanced driver assistance systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/10248070290258822	en
heal.identifier.secondary	http://dx.doi.org/10.1080/10248070290258822	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	The objective of this article is to present a methodology for the estimation of the impact of Advanced Driver Assistance Systems (ADAS) on network efficiency and the environment. The methodology proposes a set of traffic and emissions simulation models, both microscopic and macroscopic. Issues relevant to the models are discussed, and the inputs to the methodology are presented, along with its expected outputs. An indicative application of the methodology is performed, where the traffic impact of the Adaptive Cruise Control (ACC) system is tested in an urban network. The simulation results indicate that the impact of the introduction of Adaptive Cruise Control can be significant in the improvement of the traffic parameters for high system penetration levels and peak period traffic conditions. Copyright © Taylor & Francis, Inc.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	ITS Journal: Intelligent Transportation Systems Journal	en
dc.identifier.doi	10.1080/10248070290258822	en
dc.identifier.isi	ISI:000186927500004	en
dc.identifier.volume	7	en
dc.identifier.issue	3-4	en
dc.identifier.spage	261	en
dc.identifier.epage	277	en