Development of Traffic Video Analysis Tool for Highway Safety Performance Evaluation

Zhou, Huaguo; Zhao, Zijie; Zhou, Yang; Ren, Jiaxiang

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Development of Traffic Video Analysis Tool for Highway Safety Performance Evaluation

2024-01-01
By Zhou, Huaguo ; Zhao, Zijie ; Zhou, Yang

File Language:

English

Details

Creators:

Zhou, Huaguo ; Zhao, Zijie ; Zhou, Yang ; Ren, Jiaxiang
Corporate Creators:

Auburn University. Highway Research Center
Corporate Contributors:

Alabama. Department of Transportation
Subject/TRT Terms:
Publication/ Report Number:

ALDOT 931-055
Resource Type:

Tech Report
Geographical Coverage:

Alabama ; United States
Edition:

Final Report
Corporate Publisher:

Auburn University. Highway Research Center
Abstract:

Recent advances in computer vision techniques have enabled the use of traffic video data for valuable surrogate safety measures to improve highway safety evaluations. However, few tools specifically target abnormal traffic events like wrong-way driving (WWD) or illegal left turns. This research aims to develop a cost-effective video analytic tool, operational on simpler hardware, focusing on two application domains: (1) detecting WWD incidents at interchange terminals, and (2) identifying traffic conflicts at unsignalized intersections. This research utilized extensive traffic video data for calibration, validation, and conducting case studies of the tool. The data comprised over 400 hours of footage from portable cameras at 14 partial cloverleaf interchange terminals for WWD incident detection and 72 continuous hours of video from seven unsignalized intersections for illegal left turn analysis. Additional data from fixed detection cameras, including 14 months of WWD incidents and 24 hours of traffic violation monitoring, were also incorporated.
Format:

PDF
Funding:

FHWA/ALDOT 931-055
Download URL:

https://rosap.ntl.bts.gov/view/dot/77154/dot_77154_DS1.pdf
File Type:

[PDF - 5.42 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; US Transportation Collection
Main Document Checksum:

urn:sha-512:47560c6cd142a4601863f7f3bff6d054f3ef6ee77b75a8bc39adc7865c6957cd1a56281f4c34540d19b6301fe045c19ac114cc9f73121c65d63cd3d827bce6b9

File Language:

English

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