Automated safety evaluation of intersections using advanced video recognition technology

The present study aims to assess the utility of advanced video recognition technology in assessing road safety at intersections. In particular, this study assessed safety performance of three complex intersections in Brisbane by using safety surrogates automatically measured by an advanced video recognition technology. Traffic movement data on typical weekdays at the chosen intersections were video recorded. Conflict analysis was then performed by analyzing traffic interactions among vehicles, pedestrians and cyclists. In particular, Time-To-Collision (TTC) and Post Encroachment Time (PET) were used to identify frequency, severity and locations of the conflicts at each intersection. Subsequently, suitable countermeasures were identified to reduce these conflicts and improve safety at these intersections

• Record URL:
  http://acrs.org.au/publications/acrs-conference-papers/acrs-database/
• Supplemental Notes:
  • Extended abstract only
• Authors:
  • Haque, M
  • Washington, S
  • Arun, A
  • Bunker, J
  • Sayed, T
  • Debnath, A K
• Conference:
  • Australasian Road Safety Conference, 2018, Sydney, New South Wales, Australia
• Publication Date: 2018-10

Language

• English

Media Info

• Pagination: 3p
• Monograph Title: Proceedings of the 2018 Australasian Road Safety Conference, 3-5 October, Sydney, New South Wales

Subject/Index Terms

• TRT Terms: Automatic vehicle monitoring; Digital video; Evaluation; Intersections; Safety; Traffic safety
• Geographic Terms: Brisbane, Queensland
• ATRI Terms: Automatic vehicle monitoring (AVM); Crash countermeasure; Evaluation; Intersection; Safety; Video
• Subject Areas: Safety and Human Factors;

Filing Info

• Accession Number: 01704216
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, ATRI
• Created Date: May 2 2019 2:16PM