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Study for Large-Scale Automation of Wrong Way Detection using Existing CCTV Cameras

Project Details
STATUS

In-Progress

PROJECT NUMBER

22-816

START DATE

09/01/22

END DATE

02/29/24

SPONSORS

Iowa Department of Transportation

Researchers
Principal Investigator
Anuj Sharma

Research Scientist and Leader, REACTOR

About the research

A high percentage of wrong-way driving (WWD) crashes are fatal or near-fatal. According to federal and state crash data, 20 to 25% of crashes from WWD events are fatal. This percentage is significant compared to the 0.5% fatality rate for all vehicle crashes. The fact that these crashes often involve head-on crashes at high speeds makes these crashes one of the most severe types of crashes. The goal of this project to expand our video analytics approach for large scale WWD using only closed-circuit television (CCTV) traffic surveillance cameras on a real-time basis with no need to manually pre-calibrate the cameras.

 

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