4-4.2: Corridor-Wide Surveillance Using Unmanned Aircraft Systems Phase II: Freeway Incident Detection using Unmanned Aircraft Systems Part B
Principal Investigator Yu Zhang, Ph.D. Final Report (DOI) Available Soon TRID Available Soon Policy Brief Available Soon RIP View RIP entry Abstract Unmanned aerial vehicles (UAVs) provide a platform that can carry cameras and sensors for collecting real-time traffic information, especially for corridors under congested conditions, when the traditional loop detectors do not work…
Traffic signal plans to decongest street grids
The research was funded by the National Science Foundation Grant No. 1760971 and by the National Institute for Congestion Reduction (NICR), a University Transportation Center. We thank Associate Editor Michael Zhang for his helpful comments in readying the paper for publication. Two new synchronization strategies are developed for signalized grids of two-directional streets. Both strategies are found to reduce…
Tampa Bay Citizens’ Academy on Transportation (TB-CAT) 2022
Tampa Bay Citizens Academy on Transportation – YEAR TWO October 12, 2022 – December 7, 2022 Live *class sessions will be held on Wednesdays from 5 pm to 7 pm ET. Sessions will be recorded and available for registered students only. The Tampa Bay Citizens Academy on Transportation is a free eight-week virtual e-learning course…