A synthesis of emerging data collection technologies and their impact on traffic management applications
2011 (English)In: European Transport Research Review, ISSN 1867-0717, Vol. 3, no 3, 139-148 p.Article in journal (Refereed) Published
Purpose: The objective of this research is to provide an overview of emerging datacollection technologies and their impact on traffic management applications. Methods: Several existing and emerging surveillance technologies are being used for traffic datacollection. 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 trafficmanagement 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.
Place, publisher, year, edition, pages
2011. Vol. 3, no 3, 139-148 p.
Data fusion, Emerging data sources, Traffic management, Traffic surveillance
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-76809DOI: 10.1007/s12544-011-0058-1ScopusID: 2-s2.0-80255138359OAI: oai:DiVA.org:kth-76809DiVA: diva2:491181
FunderTrenOp, Transport Research Environment with Novel Perspectives
TSC import 909 2012-02-06. QC 201202142012-02-062012-02-062012-06-12Bibliographically approved