Classification of driver-assistance systems according to their impact on road safety and traffic efficiency

Golias, J; Yannis, G; Antoniou, C

dc.contributor.author	Golias, J	en
dc.contributor.author	Yannis, G	en
dc.contributor.author	Antoniou, C	en
dc.date.accessioned	2014-03-01T01:17:36Z
dc.date.available	2014-03-01T01:17:36Z
dc.date.issued	2002	en
dc.identifier.issn	0144-1647	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14587
dc.subject	Driver Assistance System	en
dc.subject	Road Safety	en
dc.subject.classification	Transportation	en
dc.subject.other	traffic management	en
dc.subject.other	transportation planning	en
dc.subject.other	transportation safety	en
dc.subject.other	transportation system	en
dc.title	Classification of driver-assistance systems according to their impact on road safety and traffic efficiency	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/01441640110091215	en
heal.identifier.secondary	http://dx.doi.org/10.1080/01441640110091215	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	The aim was to examine driver-assistance systems that seem to have a considerable potential for road safety and traffic efficiency improvement, and to propose an impact-oriented classification of these systems. A broad overview of a series of driver-assistance systems under development or in some cases already available is presented and it identifies the basic characteristics of each system and its expected impact on traffic efficiency and road safety. The latter is assessed on the basis of appropriate evaluation criteria. Expert judgement and literature evidence available are used in this context. This impact approach, in contrast with the usually adopted user or system-oriented approaches, allows for more appropriate identification of the priorities in the field of future research, development and promotion of driver-assistance systems. The proposed classification allocates the driver-assistance systems in four different categories on the basis of whether traffic efficiency and safety impact are high or low. This categorization reveals that 40% of the systems considered are expected to have a high safety and low traffic-efficiency impact, while only 15% is expected to have both impacts high.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	Transport Reviews	en
dc.identifier.doi	10.1080/01441640110091215	en
dc.identifier.isi	ISI:000175047200008	en
dc.identifier.volume	22	en
dc.identifier.issue	2	en
dc.identifier.spage	179	en
dc.identifier.epage	196	en