Evaluation of Near-Miss Crashes Using a Video-Based Tool

Kondyli, Alexandra; Schrock, Steven D.; Tousif, Fahmid

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Evaluation of Near-Miss Crashes Using a Video-Based Tool

2023-11-01
By Kondyli, Alexandra ; Schrock, Steven D. ; Tousif, Fahmid

File Language:

English

Details

Creators:

Kondyli, Alexandra ; Schrock, Steven D. ; Tousif, Fahmid
Corporate Creators:

University of Kansas. Dept. of Civil, Environmental and Architectural Engineering
Corporate Contributors:

Kansas Department of Transportation. Bureau of Research
Subject/TRT Terms:
Publication/ Report Number:

K-TRAN: KU-21-4
Resource Type:

Tech Report
Geographical Coverage:

Kansas;United States
Edition:

Final Report July 2020 — February 2022
Corporate Publisher:

Kansas Department of Transportation. Bureau of Research
Abstract:

This research investigated the prediction accuracy of a video-based tool developed by Transoft Solutions for predicting near-miss crashes at signalized intersections. The research team selected two signalized intersections in Overland Park, Kansas, and collected two weeks of video data from both locations. Only weekday data were collected for the two weeks in February and March 2021. The data were provided to Transoft Solutions, and analyzed results were accessed from the vendor website. Approximately 10% of the data were sampled for manual validation, which included drawing vehicle trajectories and conflict spots on top of the computer screen and measuring time manually in milliseconds. Both post-encroachment time (PET) and time-to-collision (TTC) data were validated based on three conflict categories (critical conflicts, minor conflicts, and potential conflicts) and three weather and traffic conditions (rainy peak condition, sunny peak condition, and sunny off-peak condition).
Format:

PDF
Funding:

C2171
Download URL:

https://rosap.ntl.bts.gov/view/dot/72547/dot_72547_DS1.pdf
File Type:

[PDF - 3.13 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:1c217eebb36337ef56c8718c25fa99272f13ec9ad96db6e425fa2cf95a78ca0d21343d82d75741d261595ca4f679ebc1eaba47e8988bbbb742983e5013218be0

File Language:

English

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