Panos Michalopoulos co-founded CTS and has more than 42 years of experience in traffic engineering, management, operations, and control. His main research areas include modeling of traffic flow dynamics, traffic flow theory, simulation and control, as well as the development of advanced traffic management systems.
Research by Michalopoulos led to the development of AUTOSCOPE, the first and most widely used machine vision-based vehicle detection and surveillance system, with over 150,000 installations worldwide as of 2012. This work includes continuum modeling and simulation of traffic flow dynamics in complex large-scale networks. He is a leader in the development of a wide-area vehicle detection system based on machine vision for testing and validating traffic flow models and adaptive (real-time) control, and automatic incident detection. He was involved in the development of the next generation of Minnesota's ramp control strategy.
Michalopoulos received a BS in civil engineering from the College of Engineering, Athens, Greece, and went on to earn MS and PhD degrees in civil engineering with specializations in transportation science from the University of Florida. He has presented or published more than 150 papers in proceedings and peer-reviewed journals, in addition to numerous research reports. He holds US and EU patents for machine-based vehicle detection systems.