Chien, S., Christopher, L., Chen, Y., Qiu, M., & Lin, W. (2023). Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data (Report No. FHWA/IN/JTRP-2024/02). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317719
Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data. Report no. FHWA/IN/JTRP-2024/02. Purdue University. Joint Transportation Research Program, 2023. https://doi.org/10.5703/1288284317719.
Chien, Stanley, et al. Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data. Purdue University. Joint Transportation Research Program, 2023, Report no. FHWA/IN/JTRP-2024/02, ROSA P. https://doi.org/10.5703/1288284317719.
Vehicle weaving describes the vehicle lane changes in areas between consecutive merge and diverge ramp junctions. During heavy traffic, vehicle weaving will slow down traffic, cause congestion, and increase the possibility of crashes. It is desirable to automatically capture the weaving information using camera videos in the weaving areas. The currently existing weaving area analysis is very tedious and labor-intensive. This report describes a novel system that uses the videos simultaneously captured at the entry and exit of the weaving area to find the number and percentage of vehicles from each lane on the entry to each lane on the exit. The system provides a convenient user interface, uses AI techniques to detect vehicles from camera videos, uses vehicle motion to identify the lanes, tracks and matches the vehicles at the entry and exit in the lane level, and presents the weaving analysis result in a user-friendly Sankey diagram. Compared to the other existing weaving analysis methods, this system can reduce the human work hours by at least 90%.
Chien, S., Christopher, L., Chen, Y., Qiu, M., & Lin, W. (2023). Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data (Report No. FHWA/IN/JTRP-2024/02). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317719
Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data. Report no. FHWA/IN/JTRP-2024/02. Purdue University. Joint Transportation Research Program, 2023. https://doi.org/10.5703/1288284317719.
Chien, Stanley, et al. Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data. Purdue University. Joint Transportation Research Program, 2023, Report no. FHWA/IN/JTRP-2024/02, ROSA P. https://doi.org/10.5703/1288284317719.
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.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.