Video-based Network-wide Surrogate Safety Analysis to Support a Proactive Network Screening Using Connected Cameras: Case Study in the City of Bellevue (WA) United States
Surrogate road safety approaches, as part of road improvement programs, have gained traction in recent years. Thanks to emerging technologies such as computer-vision and cloud-computing, surrogate methods allow for proactive scanning and detection of safety issues and address them before collisions and injuries occur. The objective of this paper is to propose an automated and continuous monitoring approach for road network screening using connected video cameras and a cloud-based computing analytics platform for large-scale video processing. Using the wide network of traffic cameras from cities, the proposed approach aims to leverage video footage to extract critical data road network screening (ranking and selection of dangerous locations). Using the City of Bellevue as an application environment, different safety metrics are automatically generated in the platform such as traffic exposure metrics, frequency of speeding events, and conflict rates. Using Bellevue’s camera network, the proposed approach is demonstrated using a sample of 40 cameras and intersections. The results and platform provide a proactive tool that can constantly look for dangerous locations and risk contributing factors. This paper provides the details of the proposed approach and the results of its implementation. Directions for future work are also discussed.
- Record URL:
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Supplemental Notes:
- This paper was sponsored by TRB committee ACP15 Standing Committee on Intelligent Transportation Systems.
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Corporate Authors:
Transportation Research Board
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Authors:
- Samara, Lana
- St-Aubin, Paul
- Loewenherz, Franz
- Budnick, Noah
- Miranda-Moreno, Luis
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Conference:
- Transportation Research Board 100th Annual Meeting
- Location: Washington DC, United States
- Date: 2021-1-5 to 2021-1-29
- Date: 2021
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: 21p
Subject/Index Terms
- TRT Terms: Case studies; Computer vision; Networks; Safety analysis; Traffic surveillance; Video; Video cameras
- Identifier Terms: Vision Zero
- Geographic Terms: Bellevue (Washington)
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01763963
- Record Type: Publication
- Report/Paper Numbers: TRBAM-21-03654
- Files: TRIS, TRB, ATRI
- Created Date: Feb 4 2021 10:57AM