Development of an Infrastructure Based Data Acquisition System to Naturalistically Collect the Roadway Environment

dc.contributor.authorSarkar, Abhijiten
dc.contributor.authorPapakis, Ioannisen
dc.contributor.authorHerbers, Eileenen
dc.contributor.authorViray, Reginalden
dc.date.accessioned2024-02-26T14:11:40Zen
dc.date.available2024-02-26T14:11:40Zen
dc.date.issued2023-12en
dc.description.abstractAutomatic traffic monitoring is becoming an important investment for transportation specialists, especially as the overall volume of traffic continues to increase, as do crashes at intersections. Infrastructure cameras can be a good source of information for automatic monitoring of traffic situations at intersections. However, efficient computer vision methods that can process the video data effectively are required for this endeavor. Intersection cameras often record video data that are of low quality and low frame rate, making them challenging to use. In this project, we have demonstrated how traffic cameras can be used to automatically track roadway agents, find their kinematic behavior, and devise a safety measurement strategy, leveraging recent advancements in computer vision and deep learning. In this process, we have specifically focused on the Virginia Beach area and used publicly available traffic data to demonstrate our results. We developed a full computer vision pipeline that trains a custom object detector specifically using traffic data. We also used an optical flow method and a graph neural network to improve the accuracy of object tracking. The tracked objects from the image frames were further used as a point source and mapped to their GPS locations. Finally, the speed of each object was calculated to understand the traffic dynamics and determine possible crash predictors. This information can be used to quickly alert traffic control operators to a specific intersection that likely needs their attention so that crashes can be mitigated.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/118150en
dc.language.isoenen
dc.relation.ispartofseriesSafe-D; 04-121en
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectcomputer visionen
dc.subjectroad safetyen
dc.subjecttraffic monitoringen
dc.subjectobject detectionen
dc.subjectobject trackingen
dc.titleDevelopment of an Infrastructure Based Data Acquisition System to Naturalistically Collect the Roadway Environmenten
dc.typeReporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
04-121_Final-Research-Report.pdf
Size:
3.98 MB
Format:
Adobe Portable Document Format
Description:
Report
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description: