This project was funded by the National Institute for Transportation and Communities (NITC; grant number NITC 1296), a U.S. DOT University Transportation Center, and Portland State University
Traffic safety, Intelligent sensors, Urban transportation -- Planning, Traffic -- Monitoring, Urban transportation
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 be built and tested for data collection at a major intersection near the University of Arizona. The proposed research can build a foundation for commercializing a new traffic monitoring device through the project.
Cao, S., Wu, Y. Jin, F., Development of Intelligent Multimodal Traffic Monitoring using Radar Sensor at Intersections. NITC-RR-1296. Portland, OR: Transportation Research and Education Center (TREC), 2021. https://doi.org/10.15760/trec.268