Infrastructure and Projects

Infrastructure and Projects

FDOT is investing in various emerging technology projects within the City of Gainesville (CoG) area on several corridors in partnership with CoG and UF as shown on the I-STREET corridors map. These corridors and proposed emerging technologies can be made available to I-STREET Partners to test their proposed I-STREET Solutions. All these corridors (including I-75) are connected to the CoG’s Smartraffic Center using the City’s communications network. CoG has several ITS deployments such as traffic cameras, travel time data collection devices, and arterial dynamic message signs on a few corridors. CoG also manages and operates signals for the Gainesville and surrounding areas including the City of Alachua. The traffic signal controllers are Naztec 980 version and run on central system software at CoG’s Smartraffic facility.

UF Test Bed Corridors

I-STREET Partners may opt to use these corridors to test their Solutions or may request other corridors within CoG City Limits.  Developers may identify opportunities to improve existing and proposed systems in this region to support demonstration or testing of their proposed I-STREET Solution(s). Such recommendations should be submitted to the I-STREET Team along with the RFI response or identified after the proposed solution is selected for further discussion, potentially leading to demonstration or testing.

Detailed information regarding the specific equipment available at a particular location or corridor may be obtained from the City of Gainesville (see contacts at the end of the RFI).

Summary details for projects:

I-75 Florida’s Regional Advanced Mobility Elements (FRAME)  

Contact – Pete Vega;  
Link – 

Pedestrian and Bicycle Safety Demonstration 

Contact – Fred Heery; 

Gainesville SPaT Trapezium Area
Gainesville SPaT Trapezium 

Contact- Raj Ponnaluri;  
Link –  

Evaluation of the Gainesville Trapezium Connected Vehicle Signal Phase and Timing (SPaT) Deployment Project 

Contact – Dr. Sanjay Ranka;  
Description – As part of the I-STREET and FDOT’s CAV program, Siemens Mobility will deploy Road-Side Units (RSUs) capable of Direct Short-Range Communications (DSRC) on four roads surrounding the campus (forming a “trapezium”). This project evaluates the efficacy of DSRC in improving safety and efficiency using crash data, “near-miss” detection and traffic performance measures.  
Link –  

Data Management and Analytics  

Contact – Dr. Sanjay Ranka;  

Gainesville Autonomous Shuttle Evaluation 

Contact – Dr. Pruthvi  
Description – The City of Gainesville (COG) and the University of Florida have partnered to run a pilot of an autonomous shuttle. The COG, in conjunction with the vendor Transdev, will test operational strategies along SE 2nd Avenue.  The University of Florida Transportation Institute is conducting a study to evaluate the Public Acceptance of Autonomous Vehicle (AV) Technology. The objective of this project is to capture public opinion and perspectives on AV technology and the Gainesville Autobus, specifically in regard to the public’s readiness to interact with AVs, their perception of its ease of use, and the intention to use the technology. 
Link –  
Video –  

Traffic Signal Control with Connected and Autonomous Vehicles in the Traffic Stream 

Contact – Dr. Lily Elefteriadou;  

Development and Testing of Optimized Autonomous and Connected Vehicle Trajectories at Signalized Intersections 

Contact – Dr. Lily Elefteriadou;  
Link –  

Extended Development and Testing of Optimized Signal control with Autonomous and Connected Vehicles 

Contact – Dr. Lily Elefteriadou;  
Description – As part of an NSF grant UFTI has developed, evaluated, and deployed an intelligent real-time intersection traffic control system that is able to simultaneously optimize signal control and automated vehicle trajectories, considering the presence of autonomous, connected, and conventional vehicles in the traffic stream. This project funded by FDOT will extend the system to include pedestrians, bicyclists and scooters.

Transportation Mobility Assessment and Recommendations for Smart City Planning  

Contact – Dr. Lily Elefteriadou;  
Description – Objective of this project is to develop and test a Community-Based Participatory Research (CBPR) methodology for developing transportation mobility plans by assessing the needs of travelers in the community. Two communities in Gainesville (Haile Plantation and Duval Heights) with different demographic characteristics have been chosen for this study.  

Before and After Study of Gainesville Pedestrian-Bicyclists Connected Vehicle Pilot 
AID Project Area

Contact – Dr. Lily Elefteriadou;  
Description – As a part of AID project, warning or notification systems to improve pedestrian-bicyclist access and safety will be deployed at UF campus. This study evaluates the system performance in terms of safety and mobility at intersections and mid-block crossings of the selected campus routes. 
Link –  

Testbed Initiative Transit Components 

Contact – Dr. Yong-Kyu Yoon; 


Contact – Dr. Nithin Agarwal;  

I-STREET Initiative – Evaluation of Intelligent School Zone Beacon and Vehicle-Cyclist Detection and Warning System

Contact – Dr. Eakta Jain;
Description – The City of Gainesville (COG) and the University of Florida have partnered to evaluate a smartphone-based app called “TravelSafely” developed by Temple/AI. This app has the capability to alert drivers if they exceed a given speed threshold in an active school zone or when they are approaching a cyclist and a collision is possible. We collected trajectory and eye tracking data from 50 participants. Each participant drove a circuit twice and, in each circuit, drive through 4 school zones and one staged cyclist. The driving subjects were randomized across three conditions: (1) Stealth/OFF condition (drivers did not receive any alerts), (2) Audio ON (drivers received audio alerts), and (3) Audio/Visual ON (drivers received both audio and visual alerts). Overall, the experimental study suggests that the availability of an app decreases the probability of speeding in school zones and slightly increased visual scanning behavior. These could translate into improved situational awareness and increased safety in school zones. In the case of the bicyclist, the results showed a significant increase the probability of seeing the cyclist with the availability of the app when the bicyclist was not expected. This suggest the value of the app in improving safety in locations in which cyclists are generally not expected. It is useful to acknowledge that these results are based on a relatively small sample of valid data points. Therefore, future studies with larger samples are warranted.
Video –

Related External Project Links: