Intelligent transport systems and effects on road traffic accidents: State of the art

Vaa, T; Penttinen, M; Spyropoulou, I

dc.contributor.author	Vaa, T	en
dc.contributor.author	Penttinen, M	en
dc.contributor.author	Spyropoulou, I	en
dc.date.accessioned	2014-03-01T01:26:29Z
dc.date.available	2014-03-01T01:26:29Z
dc.date.issued	2007	en
dc.identifier.issn	1751-956X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18105
dc.subject	Intelligent Transport System	en
dc.subject	Road Traffic Accident	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Accident prevention	en
dc.subject.other	Automobile drivers	en
dc.subject.other	Brakes	en
dc.subject.other	Error compensation	en
dc.subject.other	Highway accidents	en
dc.subject.other	Motor transportation	en
dc.subject.other	Electronic stability control	en
dc.subject.other	Intelligent transport systems	en
dc.subject.other	Meta-analysis	en
dc.subject.other	Road traffic accidents	en
dc.subject.other	Weighted estimates	en
dc.subject.other	Intelligent agents	en
dc.title	Intelligent transport systems and effects on road traffic accidents: State of the art	en
heal.type	journalArticle	en
heal.identifier.primary	10.1049/iet-its:20060081	en
heal.identifier.secondary	http://dx.doi.org/10.1049/iet-its:20060081	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	The results from several reviews have been presented and the aspects of road safety associated with intelligent transport systems (ITS) applications have been addressed. The attempt is to make a state-of-the-art regarding effects on accidents by categorising systems according to levels of evaluations methods that have been applied. These categories are effects on behaviour, effects on accidents by proxy/surrogate methods, accident studies from real traffic, effects on accident types and finally by meta-analysis where weighted estimates of effects on accidents can be calculated. Thirty-three IT systems including driver assistance systems/advanced driver assistance systems, in-vehicle information systems, in-vehicle data-collection systems and road telematics have been listed. Effects based on meta-analysis are estimated for 11 systems, and single accident studies are found for an additional 2 systems. For the remaining 20 systems, no studies from real road traffic have been identified. Effects on accidents of antilocking brake systems and electronic stability control (ESC) are presented in more detail according to their effects on certain accident types. ESC appears to be very efficient in reducing the number of accidents. Behavioural adaptations to ITS are considered and discussed, especially in terms of compensation mechanisms. Four hypotheses regarding prediction of effects on accidents are stated according to whether systems increase or decrease 'windows of opportunities' by calling upon a driver behaviour model where emotions play a central role. © The Institution of Engineering and Technology 2007.	en
heal.publisher	INST ENGINEERING TECHNOLOGY-IET	en
heal.journalName	IET Intelligent Transport Systems	en
dc.identifier.doi	10.1049/iet-its:20060081	en
dc.identifier.isi	ISI:000255044800005	en
dc.identifier.volume	1	en
dc.identifier.issue	2	en
dc.identifier.spage	81	en
dc.identifier.epage	88	en