David Florence, PE

TTI Assistant Research Engineer

Education

• M.S., Transportation (Civil Engineering), Texas A & M University, 2017
• B.S.C.E., Transportation (Civil Engineering), Texas A&M University, 2015

Short Biography

Mr. Florence has seven years of experience working at TTI. His expertise includes traffic signal systems and control, microsimulation, Intelligent Traffic Systems (ITS), freeway design, weather-responsive traffic management, and traveler information systems. He simulates a variety of traffic engineering scenarios including transit signal priority for downtown Dallas, TX, assessment of weather-responsive signal timing, rural highway operations, and design considerations, and more advanced topics such as custom driver behavior or preemption. Mr. Florence is skilled in traffic signal systems and deployment of detection technology. Mr. Florence is a skilled programmer who has scripted applications to simulate vehicle behavior using VISSIM to model connected and automated vehicles and develop a host of unique performance metrics based on simulation data. He is familiar with advanced concepts in VISSIM to customize driver behavior for special circumstances such as driver response to an emergency vehicle or adjusting vehicle approach to an intersection.  Mr. Florence uses his data analysis expertise and traffic operations evaluation skills to evaluate both simulation and field operations across various research projects.