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

Constantinos Antoniou, Ramachandran Balakrishna, Haris N. Koutsopoulos

Research output: Contribution to journalReview articlepeer-review

81 Scopus citations

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.

Original languageEnglish
Pages (from-to)139-148
Number of pages10
JournalEuropean Transport Research Review
Volume3
Issue number3
DOIs
StatePublished - Nov 2011
Externally publishedYes

Keywords

  • Data fusion
  • Emerging data sources
  • Traffic management
  • Traffic surveillance

Fingerprint

Dive into the research topics of 'A Synthesis of emerging data collection technologies and their impact on traffic management applications'. Together they form a unique fingerprint.

Cite this