This system named “Near Miss Event Detection System (NMEDS) is developed by the UCF SST team to conduct traffic analysis using video data collected from roadside cameras. The framework of NMEDS combined the Mask-RCNN bounding box and Occlusion-Net detection algorithms to reconstruct road users' key points in a 3D view.
The following are some examples of traffic analysis that could be done using the system:
- Conduct Grid-based spatial autocorrelation analytics was conducted to identify the significantly dangerous locations
- Predict road users' intention (e.g., pedestrian crossing)
- Predict road safety condition using surrogate safety measures
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