Autonomous & Connected Vehicles

Autonomous vehicles are those that do not require a human driver, but they can operate using a variety of sensors such as GPS, lidar, radar, and computer vision, as well as terrain information.  Autonomous vehicle technology has advanced significantly in the past few years. Autonomous vehicles have the potential to provide additional mobility options, particularly for older drivers with reduced cognitive abilities, or others who are not able to drive.  The University of Florida (UF) has been a leader in this development and has competed nationally in events such as the DARPA Urban Challenge.  Connected vehicle technology seeks to warn drivers of impending dangers but the vehicle is still controlled by a human driver.

Example Projects

Title Principal Investigator Agency/Source Project Number
LiDAR Sensor (Future Data Collection Progress) Dr. Carl Crane, III FDOT BDV31 977-57
Traffic Signal Control with Connected and Autonomous Vehicles in the Traffic Stream

For updated information visit the AVIAN website here: [link]

Dr. Lily Elefteriadou NSF NSF G000170
Development and Testing of Optimized Autonomous and Connected Vehicle Trajectories at Signalized Intersections Dr. Lily Elefteriadou FDOT BDV31-977-45
Policy Implications of Automated Vehicle Technology Dr. Siva Srinivasan FDOT BDV32-977-06
Infrastructure Adaptation Planning for Autonomous Vehicles Dr. Yafeng Yin USDOT DTRT12-G-UTC04

Faculty

Carl Crane, Ph.D. Professor of Mechanical Engineering

Lily Elefteriadou, Ph.D. Professor of Civil and Coastal Engineering elefter@ce.ufl.edu

Siva Srinivasan, Ph.D. Associate Professor Civil & Coastal Engineering siva@ce.ufl.edu