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Development Of Intelligent Multimodal Traffic Monitoring Using Radar Sensor At Intersections, Siyang Cao, Yao-Jan Wu, Feng Jin

TREC Final Reports

Multimodal traffic monitoring is critical for improving mobility and safety at intersections with potential conflicts among various modes of transportation. Traditional traffic monitoring approaches utilizing cameras cannot work reliably during the night and under hazardous weather conditions. We propose to build a new intelligent multimodal traffic monitoring device using the low-cost mmWave radar. The proposed device can reliably distinguish different modes (such as buses, pedestrians, bicyclists, trucks, motorcycles, etc.), and determine the counts, speed, and moving directions of every single target in an urban environment under various lighting and weather conditions. In the study, a low-cost prototype system will also …