United States Department of Transportation
ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners.
As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
i
Computer Vision for Traffic Monitoring
-
2024-05-01
[PDF-2.25 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Report 08/15/2023 – 05/31/2024
-
Corporate Publisher:
-
Abstract:This project examined computer vision applications for traffic monitoring and safety analysis. The focus was on evaluating the open-source computer vision code that we developed. Three case studies were completed using our computer vision code. The code was written in Python and uses a detection model called YOLOv8. The first case study demonstrated how user counts can be obtained from video feeds and provided examples of insights that can be drawn from these counts. The second case study used computer vision to create visualizations of user movements at intersections. The third case study developed and demonstrated the application of a new surrogate safety measure for pedestrian and bicyclist safety. Shortcomings and future opportunities of open-source computer vision systems are discussed.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
