Autonomous & Connected Vehicles

Autonomous & Connected Vehicles

Group Leader: Dr. Carl Crane

Carl D. Crane is a professor in the Department of Mechanical and Aerospace Engineering and Director of the Center for Intelligent Machines and Robotics (CIMAR) at the University of Florida. Dr. Crane has been involved in research in the areas of spatial mechanisms, tensegrity systems, robotics, and autonomous navigation for over twenty five years. Current activities include the development and implementation of system architectures for autonomous ground vehicle navigation and the design and implementation of passive parallel mechanisms to be used for force control applications. Dr. Crane was team leader of the University of Florida’s 2004 and 2005 DARPA Grand Challenge autonomous vehicle development efforts and for the University of Florida’s 2007 DARPA Urban Challenge project team.


Connected vehicles (CV) use various communication technologies to exchange information with other cars on the road (vehicle-to-vehicle [V2V]), roadside infrastructure (vehicle-to-infrastructure [V2I]), and the “Cloud” [V2C]. Autonomous, or “self-driving” vehicles are defined by the U.S. Department of Transportation’s National Highway Traffic Safety Administration (NHTSA) as “those in which operation of the vehicle occurs without direct driver input to control the steering, acceleration, and braking and are designed so that the driver is not expected to constantly monitor the roadway while operating in self-driving mode.”  Connected and/or Autonomous Vehicle (CV/AV/CAV) technologies are among the most attractive automotive technologies, and they  continue to evolve and rapidly develop new capabilities.  It is widely believed that CV/AV/CAV have great potential to not only improve vehicle safety, but also to improve traffic mobility, efficiency and sustainability. The UFTI is  a leader in this area, both with respect to technology development as well as traffic management. It has competed nationally in events such as the DARPA Urban Challenge and is still actively conducting related research.

Related on-going research projects include but are not limited to the following list.


TitlePrincipal InvestigatorAgency/SourceProject Number
LiDAR Sensor (Future Data Collection Progress)Dr. Carl Crane, IIIFDOTBDV31 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 ElefteriadouNSFNSF G000170
Development and Testing of Optimized Autonomous and Connected Vehicle Trajectories at Signalized IntersectionsDr. Lily ElefteriadouFDOTBDV31-977-45
Policy Implications of Automated Vehicle TechnologyDr. Siva SrinivasanFDOTBDV32-977-06
Collaborative Research: Coordinated Real-Time Traffic Management Based on Dynamic Information Propagation and Aggregation under Connected Vehicle SystemsDr. Lili DuNSFNSF 1436786 or 1817346
CAREER: Integrated Online Coordinated Routing and Decentralized Control for Connected Vehicle SystemsDr. Lili DuNSFNSF 1554559 or 1818526  

More projects can be found on the TRID database at


Photo of Lili Du Lili Du Associate Professor, Department of Civil and Coastal Engineering (352) 294-7805
Photo of Lily Elefteriadou Lily Elefteriadou Director, UFTI & Barbara Goldsby Professor, Department of Civil and Coastal Engineering (352) 294-7802
Photo of Siva Srinivasan Siva Srinivasan Associate Director, UFTI; Associate Professor, Department of Civil and Coastal Engineering (352) 294-7807
Photo of Yu Wang Yu Wang Autonomous and Connected Vehicle Group Lead (217) 979-6365