Incorporating intelligent speed adaptation systems into microscopic traffic models

Spyropoulou, I; Karlaftis, MG

dc.contributor.author	Spyropoulou, I	en
dc.contributor.author	Karlaftis, MG	en
dc.date.accessioned	2014-03-01T02:45:31Z
dc.date.available	2014-03-01T02:45:31Z
dc.date.issued	2008	en
dc.identifier.issn	1751-956X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32285
dc.subject	Traffic Model	en
dc.subject	Intelligent Speed Adaptation	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Real time systems	en
dc.subject.other	Appropriate models	en
dc.subject.other	Car-following models	en
dc.subject.other	Driver behaviours	en
dc.subject.other	Effective sizes	en
dc.subject.other	Intelligent speed adaptation systems	en
dc.subject.other	ISA systems	en
dc.subject.other	Main parameters	en
dc.subject.other	Microscopic traffic models	en
dc.subject.other	Model parameters	en
dc.subject.other	Parameter modifications	en
dc.subject.other	Pre-requisites	en
dc.subject.other	Reaction times	en
dc.subject.other	Traffic models	en
dc.subject.other	Automobile drivers	en
dc.title	Incorporating intelligent speed adaptation systems into microscopic traffic models	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1049/iet-its:20080034	en
heal.identifier.secondary	http://dx.doi.org/10.1049/iet-its:20080034	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	Intelligent speed adaptation (ISA) systems are incorporated here into microscopic traffic models; Gipps' car-following model is discussed and the appropriate model parameters that need to be modified and additional ones that may need to be introduced are investigated. Driver behaviour under three different functionalities of ISA, namely informative, warning and intervening, is investigated through a driver simulator experiment. The impact of ISA systems on driver behaviour is a complex matter because it varies both among drivers and under different scenarios. The main parameters that capture the 'reaction' to the system are identified and are quantified through model parameters. These are driver speed, acceleration, deceleration, reaction time and effective size of the vehicle, and are estimated following the analysis of the simulator data. The resulting values confirm the necessity of parameter modification. The analysis performed for the incorporation of ISA into the traffic model indicated that a prerequisite of successful implementation is a deep understanding of the model parameters and dynamics. © The Institution of Engineering and Technology 2008.	en
heal.publisher	INST ENGINEERING TECHNOLOGY-IET	en
heal.journalName	IET Intelligent Transport Systems	en
dc.identifier.doi	10.1049/iet-its:20080034	en
dc.identifier.isi	ISI:000262317900012	en
dc.identifier.volume	2	en
dc.identifier.issue	4	en
dc.identifier.spage	331	en
dc.identifier.epage	339	en