The objective of this project was to develop, test, and deploy an intelligent real-time intersection traffic control system to optimize simultaneously signal control and automated vehicle trajectories when the traffic stream consists of autonomous, connected, and conventional vehicles. The system was also tested at the Florida Department of Transportation’s Traffic Engineering Research Laboratory (FDOT TERL) facility.
The Realtime Intersection Optimizer (RIO) obtains the vehicle arrival information through radar and cameras for both conventional vehicles and AVs as they enter the communication range. The two sources of arrival information are fused, and the resulting arrivals are entered into the algorithm for processing. Optimized signal timings are sent to the signal controller, while optimized trajectories are sent to the AVs and CVs.
Accelerator pilot
I-STREETTM is ideal for new and established companies. It's a testing ground for innovative technologies in mobility, robotics and smart cities. Pilots include the opportunity to deploy technologies in the lab or the field with UFTI staff and workshops with leading industry partners and investors to expand market adoption. Resources include work space, researchers, grant development and access to the University of Florida campus and surrounding Florida roadways.
Facilities
Since 2017, over 20 pilots, 200 IoT devices, and 5G have been deployed to support industry and government partners.
A student village workspace, traffic monitoring area and a 500-square-foot traffic and signals lab.
A three-bay vehicle lab and garage for installation, maintenance and testing.
I-STREET™ technologies include video cameras and roadside units that communicate through direct radio communication with onboard units installed inside selected vehicles.
Access a network of public transit, parking and micro-mobility adoption to testing mobility solutions.
Access a roadway network across interstates, highways, and local roads.
Access the University of Florida campus facilities and surrounding community.
