Deploy Lidar Systems At Intersections To Improve Equitable Mobility
Principal Investigator:
Taylor Li, University of Texas, Arlington
Co-Investigators:
- Stephen Mattingly, University of Texas, Arlington
Summary:
In this project, the researchers developed 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 impr...
In this project, the researchers developed 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 later selected and funded by Utah Department of Transportation (UDOT) for two related research projects. The results of those two projects were promising and multiple agencies across the nation expressed interest. The pilot studies were conducted in the real world and close to maturity (TRL 9). To further facilitate transferring the LiDAR solutions to practice, the research team developed educational and training materials for short courses, seminar/webinar and workshops.
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Project Details
Project Type: | Technology Transfer |
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Project Status: | Completed |
End Date: | August 31, 2024 |
UTC Funding: | $74,998 |