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

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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


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