Photo of Pruthvi Manjunatha

Pruthvi Manjunatha

Research Assistant Professor Department of Civil & Coastal Engineering
Office 309 Weil Hall Website: UFTI Profile


Research Areas:

  • Human Factors and Driver Behavior
  • Connected and Autonomous Vehicle (CAV) infrastructure
  • Traffic Simulation
  • Intelligent Transportation Systems
  • Traffic Operation and Signal Control


Pruthvi Manjunatha is the I-STREET Testbed Manager and a Research Assistant Professor in the Department of Civil and Coastal Engineering. Dr. Manjunatha has 8 years of experience in transportation engineering, which includes teaching, research and working in the industry.  His experience has been in Connected and Autonomous Vehicle (CAV) infrastructure, Human Factors and Driver Behavior, Traffic Simulation, Intelligent Transportation Systems (ITS), traffic operations and data management. Dr. Manjunatha completed his Master’s thesis on a German Academic Scholarship at Karlsruhe Institute of Technology and received his Master’s degree in Transportation Systems Engineering from Indian Institute of Technology, Bombay. After getting his Ph.D. from the University of Florida (UF) in 2018, he briefly worked as a post-doctoral associate.

In his current role as I-STREET Testbed Manager at the UF Transportation Institute (UFTI) he co-ordinates with the City of Gainesville and Florida Department of Transportation in the planning and implementation of I-STREET projects. He works with project PIs and industry partners to coordinate software, hardware and application efforts and ensures consistency and interoperability of various components. He develops proposals and works on grants related to the testbed development. He also writes project reports, journal articles, and manages data collection and data analysis efforts. He supervises the work of graduate and under-graduate students and teaches graduate and undergraduate courses in Transportation engineering.


Ph.D., Civil Engineering, University of Florida, Gainesville, Florida, August 2018. Dissertation: Identification, Measurement and Incorporation of Human Factors in Traffic Microsimulation Using Driving Simulator Observations

Master of Technology, Transportation Systems Engineering, Indian Institute of technology, Bombay, June 2012. Thesis (At Karlsruhe Institute of Technology): A Methodology for Calibration of Traffic Micro Simulators in Mixed Traffic Condition

Bachelor of Engineering, Civil Engineering, Visvesvaraya Technological University, Mysore, India, May 2010. Thesis: Stabilization of Coal Ashes for Use in Various Geotechnical Engineering Applications

Current Projects:

Extended Development and Testing of Optimized Signal Control with CAVs: 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: 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 with different demographic characteristics (affluent, high educated, car-centric Haile Plantation and low-income, working class, transit dependent Duval Heights) have been chosen for this study.

Before-After Study of Pedestrian-Bicyclists Gainesville Connected Vehicle Pilot: 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.

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

Evaluation of Advanced Vehicle and Communication Technologies using Microsimulation: The goal of this project is to develop a robust microsimulation extension to allow the development and refinement of advanced transportation management strategies and evaluation procedures considering the presence of connected and autonomous vehicles. The research considers the effects of the utilization of combinations of mobile and infrastructure devices to support these strategies. It also considers both mobility and environmental impacts.

Employment History:

Post-Doctoral Associate, University of Florida Transportation Institute (UFTI) (October 2018- July 2019)

  • I-STREET smart testbed for autonomous and connected vehicle technology
  • Evaluation of Public Acceptance of Autonomous Technology in Gainesville, FL
  • Evaluation of Arterial Corridor Improvements and Traffic Management Plans
  • TTE 6259 Urban Streets Simulation and Control (Instructor)

Visiting Faculty, La Salle University, Colombia (July 2018) – Sustainable Transportation Systems

Graduate Assistant, University of Florida (August 2013-August 2018)

  • Evaluation of Adaptive Signal Controlled Corridors in Florida (Project Manager)
  • Development of Support Systems and Instructional Modules for Driving Simulator
  • TTE 4004c Transportation Engineering (Instructor, rated 4.44 out of 5 by students)
  • TTE 6267 Traffic Flow theory (Teaching Assistant)

Graduate Transport Planner, Atkins, India (July 2012 – July 2013)

  • Traffic Impact Assessment, Microsimulation Modeling, Signal Optimization.
  • Working experience with VISSIM, LINSIG, ARCADY and PICADY
  • Preliminary knowledge of demand modeling with EMME and SATURN
  • Working experience with English and Welsh Traffic codes and manuals

Visiting Scholar, Karlsruhe Institute of Technology (Sep 2011 – May 2012)

  • Calibration of VISSIM to mixed traffic conditions

Teaching Assistant, Indian Institute of Technology (July 2010 – July 2011)

  • CE 434: Traffic Analysis and Design (Lab Instructor)
  • CE 740: Traffic Engineering (Teaching Assistant)