A Synthesis of emerging data collection technologies and their impact on traffic management applications

Antoniou, C; Balakrishna, R; Koutsopoulos, HN

dc.contributor.author	Antoniou, C	en
dc.contributor.author	Balakrishna, R	en
dc.contributor.author	Koutsopoulos, HN	en
dc.date.accessioned	2014-03-01T11:46:27Z
dc.date.available	2014-03-01T11:46:27Z
dc.date.issued	2011	en
dc.identifier.issn	18670717	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37922
dc.subject	Data fusion	en
dc.subject	Emerging data sources	en
dc.subject	Traffic management	en
dc.subject	Traffic surveillance	en
dc.subject.other	Automated vehicle identifications	en
dc.subject.other	Data backgrounds	en
dc.subject.other	Data collection	en
dc.subject.other	Data source	en
dc.subject.other	Dynamic management	en
dc.subject.other	Dynamic traffic management	en
dc.subject.other	Network coverage	en
dc.subject.other	Operating principles	en
dc.subject.other	Road network	en
dc.subject.other	Surveillance technology	en
dc.subject.other	Technical characteristics	en
dc.subject.other	Traffic data	en
dc.subject.other	Traffic data collection	en
dc.subject.other	Traffic management	en
dc.subject.other	Traffic modeling	en
dc.subject.other	Traffic surveillance	en
dc.subject.other	Data fusion	en
dc.subject.other	Highway planning	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Monitoring	en
dc.subject.other	Motor transportation	en
dc.subject.other	Network management	en
dc.subject.other	Planning	en
dc.subject.other	Technology	en
dc.subject.other	Data acquisition	en
dc.title	A Synthesis of emerging data collection technologies and their impact on traffic management applications	en
heal.type	other	en
heal.identifier.primary	10.1007/s12544-011-0058-1	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s12544-011-0058-1	en
heal.publicationDate	2011	en
heal.abstract	Purpose: The objective of this research is to provide an overview of emerging data collection technologies and their impact on traffic management applications. Methods: Several existing and emerging surveillance technologies are being used for traffic data collection. Each of these technologies has different technical characteristics and operating principles, which determine the types of data collected, accuracy of the measurements, levels of maturity, feasibility and cost, and network coverage. This paper reviews the different sources of traffic surveillance data currently employed, and the types of traffic management applications they may support. Results: Automated Vehicle Identification data have several applications in traffic management and many more are certain to emerge as these data become more widely available, reliable, and accessible. Representative examples in this field are presented. Furthermore, the fusion of condition information with traffic data can result in better and more responsive dynamic traffic management applications with a richer data background. Conclusions: The current state-of-the-art of traffic modeling is discussed, in the context of using emerging data sources for better planning, operations and dynamic management of road networks. © 2011 The Author(s).	en
heal.journalName	European Transport Research Review	en
dc.identifier.doi	10.1007/s12544-011-0058-1	en
dc.identifier.volume	3	en
dc.identifier.issue	3	en
dc.identifier.spage	139	en
dc.identifier.epage	148	en