Real-time Highway Level of Safety Using a Novel Vehicle Surveillance System

This study proposes a method to analyze highway level of safety based on connected vehicle technologies. An index incorporating a crash risk estimation model and a method to analyze hazardous driving events using individual vehicle maneuvering data, which is referred to as integrated safety monitoring index (ISMI), was developed. This study classified ISMIs into three groups representing different levels of safety, ‘normal’, ‘cautious’, and ‘dangerous’. The methodology and field implementation have potential value to highway traffic agencies for monitoring and evaluating traffic streams with a focus on road traffic safety. The outcomes can be used to analyze traffic conditions before or after a crash, and this analysis can inform effective countermeasures for preventing crashes. In addition, ISMI data stored on a database in the traffic management center can be archived and further analyzed using reported crash data.

  • Record URL:
  • Supplemental Notes:
    • Abstracts used with permission of ERTICO – ITS Europe.
  • Corporate Authors:

    ERTICO - ITS Europe

    Avenue Louise 326, Blue Tower, 2nd Floor
    Brussels,   Belgium  B-1050
  • Authors:
    • Jeong, Eunbi
    • Oh, Cheol
    • Joo, Shinhye
  • Conference:
  • Publication Date: 2015

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 12p
  • Monograph Title: 22nd ITS World Congress. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01603779
  • Record Type: Publication
  • Report/Paper Numbers: ITS-2318
  • Files: TRIS
  • Created Date: Jun 28 2016 12:39PM