Framework for Quantifying Right-Turn-on-Red Conflicts From Existing Radar-Based Vehicle Detection Infrastructure
Surrogate safety measures (SSMs) have been used as an alternative to crash-based methods to study road safety. This study proposes a framework to estimate SSMs, such as post encroachment time (PET) and time to collision (TTC) values between right-turn-on-red (RTOR) and through vehicles, and demonstrates the feasibility of using vehicle trajectories obtained from existing radar-based vehicle detection systems to calculate such measures. The framework was implemented by the research team using a software-based approach. The framework presented consists of three stages: first, noise removal and classification of vehicles per lane; second, pairing RTOR vehicles and conflicting-through vehicles; and third calculation of PET and TTC values for each interaction using the radar-based vehicle trajectory dataset. Using video recordings, the interactions between right-turning vehicles and conflicting-through vehicles were documented and key vehicle position timestamps were logged. Logged timestamps enabled the calculation of PET. Video recordings acted as a tool to verify the results of PET calculations based on radar-based vehicle trajectory data. Therefore, the validity of the automated calculation of PET based on radar-based vehicle trajectory data was confirmed using the video recordings from the data collection site. The proposed framework demonstrates the potential to expand the capabilities of existing vehicle detection infrastructure to support proactive safety evaluations at a system level and increase the return on investment on existing vehicle detection technology. The proposed framework can be used in the development of safety models using existing vehicle detection infrastructure based on radar technology without the need for image processing techniques or specialized hardware.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
-
Supplemental Notes:
- Hiba Nassereddine https://orcid.org/0000-0001-5277-9464 © National Academy of Sciences: Transportation Research Board 2022.
-
Authors:
- Nassereddine, Hiba
-
0000-0001-5277-9464
- Santiago-Chaparro, Kelvin R
-
0000-0001-6897-0351
- Noyce, David A
-
0000-0001-5887-8391
- Publication Date: 2022-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 556-567
-
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume: 2676
- Issue Number: 11
- Publisher: Sage Publications, Incorporated
- ISSN: 0361-1981
- EISSN: 2169-4052
- Serial URL: http://journals.sagepub.com/home/trr
Subject/Index Terms
- TRT Terms: Data analysis; Highway safety; Radar; Right turn on red; Vehicle detectors; Vehicle trajectories
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01849075
- Record Type: Publication
- Files: TRIS, TRB, ATRI
- Created Date: Jun 22 2022 9:36AM