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A novel approach for diagnosing road safety issues using automated computer vision techniques
University of British Columbia.
University of British Columbia.
University of British Columbia.
2013 (English)In: Proceedings of the 16th International Conference Road Safety on Four Continents: Beijing, China. 15-17 May 2013, Linköping: Statens väg- och transportforskningsinstitut, 2013Conference paper, Published paper (Other academic)
Abstract [en]

The use of traffic conflicts for safety diagnosis has been gaining acceptance as a surrogate for collision data analysis. The traffic conflicts approach provided better understanding of collision contributing factors and the failure mechanism that leads to road collisions. This paper demonstrates an automated proactive safety diagnosis approach for vehicles, pedestrian and cyclists using video-based computer vision techniques. Traffic conflicts are automatically detected and several conflict indicators such as Time to collision (TTC) are calculated based on the analysis of the road-user positions in space and time. Additionally, spatial violations are detected based on the non-conformance of road users to travel regulations. Several case studies are described. The first case study deals of the safety analysis of a newly installed bike lane at the southern approach of a heavy volume Bridge in Vancouver, British Columbia. The results showed a high exposure of cyclists to traffic conflicts. Practical solutions to address the safety issues at the location were presented. The second case study deals with a major signalized intersection where concerns were raised regarding the high conflict rate between vehicles and pedestrians as well as an elevated number of traffic violations (i.e., jaywalking) at the intersection. Conflicts and violations were identified and pedestrian safety countermeasures were presented. The third case study deals with a before-after (BA) safety evaluation of a newly proposed design for channelized right-turn lanes at intersections. The new design, termed “Smart Channels”, decreases the angle of the channelized right turn to approximately 70 degrees. The results of the evaluation show that the implementation of the right-turn treatment has resulted in a considerable reduction in the severity and frequency of merging, rear-end, and total conflicts. Overall, the three case studies demonstrate the considerable potential of using video-based computer vision techniques for automated road safety analysis based on traffic conflicts.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2013.
Keyword [en]
Conflict, Accident, Risk, Image processing, Video camera
National Category
Infrastructure Engineering
Research subject
X RSXC; 20 Road: Traffic engineering, 21 Road: Traffic measurement and traffic analysis; 80 Road: Traffic safety and accidents
Identifiers
URN: urn:nbn:se:vti:diva-7387OAI: oai:DiVA.org:vti-7387DiVA: diva2:759740
Conference
16th International Conference Road Safety on Four Continents. Beijing, China (RS4C 2013). 15-17 May 2013
Available from: 2014-10-31 Created: 2014-10-31 Last updated: 2014-11-06Bibliographically approved

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Infrastructure Engineering

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
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  • en-GB
  • en-US
  • fi-FI
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  • Other locale
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Output format
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