A computer vision system for traffic accident risk measurement. A case study

A reliable estimation of the safety level of the roads is a valuable tool for detecting critical points in the road infrastructure, planning and implement countermeasures, and evaluating their impact on the traffic. A method for the computation of the accident risk is proposed, which is based on microscopic traffic data collected automatically by a video-based monitoring system, i.e. class, speed, and trajectory of each single road-user. The benefit of the proposed method is twofold: the risk level is computed without statistics on past accidents, and its computation is fully automated, therefore it does not require a manual collection of traffic data. The paper presents the definition of the proposed risk index and describes its application to a real case: the evaluation of the accident risk at an urban intersection, before and after the reorganization of its geometry. The proposed risk index, although based only on some parameters that are automatically measurable, seems to reflect the expectation of traffic experts in evaluating the impact of intervention to improve the safety of the intersection. (A)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18245463
• Authors:
  • MESSELODI, S
  • MODENA, C M
• Publication Date: 2005-11

Language

• English

Media Info

• Pagination: 51-66
• Serial:
  • Advances in Transportation Studies
  • Volume: 7
  • Publisher: University Roma Tre
  • ISSN: 1824-5463
  • Serial URL: http://www.atsinternationaljournal.com/

Subject/Index Terms

• TRT Terms: Automation; Calculation; Crashes; Digital computers; Highway design; Intersections; Layout; Near midair crashes; Risk assessment; Traffic; Urban areas; Vision
• ITRD Terms: 1643: Accident; 3882: Automatic; 6464: Calculation; 8673: Digital computer; 2855: Highway design; 455: Junction; 2885: Layout; 1642: Near miss; 9129: Risk assessment; 755: Traffic; 313: Urban area; 2066: Vision
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; I80: Accident Studies; I82: Accidents and Transport Infrastructure;

Filing Info

• Accession Number: 01018309
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Feb 2 2006 8:18AM