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arXiv · 2404.15212

Real-time Lane-wise Traffic Monitoring in Optimal ROIs

Mei Qiu·Wei Lin·Lauren Ann Christopher·Stanley Chien·Yaobin Chen·Shu Hu
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Abstract

In the US, thousands of Pan, Tilt, and Zoom (PTZ) traffic cameras monitor highway conditions. There is a great interest in using these highway cameras to gather valuable road traffic data to support traffic analysis and decision-making for highway safety and efficient traffic management. However, there are too many cameras for a few human traffic operators to effectively monitor, so a fully automated solution is desired. This paper introduces a novel system that learns the locations of highway lanes and traffic directions from these camera feeds automatically. It collects real-time, lane-specific traffic data continuously, even adjusting for changes in camera angle or zoom. This facilitates efficient traffic analysis, decision-making, and improved highway safety.

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Mei Qiu, Wei Lin, Lauren Ann Christopher, Stanley Chien, Yaobin Chen, Shu Hu. 2024-03-29. Real-time Lane-wise Traffic Monitoring in Optimal ROIs. https://arxiv.org/abs/2404.15212

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