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Research Highlights

Development of Intelligent Multimodal Traffic Monitoring using Radar Sensor at Intersections

Siyang Cao
Yao-Jan Wu
Intelligent Transportation Systems (ITS) need traffic data to run smoothly. At intersections, where there is the greatest potential for conflicts between road users, being able to reliably and intelligently monitor the different modes of traffic is crucial. The Federal Highway Administration (FHWA) estimates that more than 50 percent of the combined total of fatal and injury crashes occur at or near intersections. For pedestrians the intersection is a particularly dangerous place: the City... Read More

Deploy LiDAR systems at intersections to improve equitable mobility

Taylor Li
Stephen Mattingly
In this project, the researchers will develop a series of technology transfer materials and plan to facilitate to deploy the research findings out of a NITC-funded project titled “Pedestrian Behavior Study to Advance Pedestrian Safety in Smart Transportation Systems Using Innovative LIDAR Sensors”. In that project, the researchers developed and tested a few LiDAR-based disruptive technologies to improve the safety of vulnerable road users (VRU) at intersections. The research findings were lat... Read More