Abstract The real-time information provided by the Connected Vehicle (CV) technology allows autonomous vehicles and traffic control infrastructure, such as traffic signal controllers, to make smarter, greener, and safer decisions. Dr. Ali Reza Fayazi will discuss his proof-of-concept field experiments on the use of Vehicle-To-Infrastructure (V2I) communication for eco-driving at signalized intersections, and the use of Vehicle-To-Vehicle (V2V) communication for anticipative car following and lane selection. He will explain his crowdsourcing-based solution to have anticipatory eco-approach to intersections in every situation even with traditional traffic signals where timing information is not available. Considering a bi-directional vehicle-signal communication, he will also present his two-level method to optimally and jointly control the traffic signals timing and the speed trajectory of autonomous vehicles, formulated as a MixedâInteger Linear Program (MILP). His vehicle-in-the-loop simulation platform used to evaluate the aforementioned technologies and to measure their energy saving potentials will also be presented.
Biography Ali Reza Fayazi is a Postdoctoral Fellow in the Department of Mechanical Engineering at Clemson University. He has been working in the field of eco-driving trajectory optimization, energy efficient motion-control, and vehicle-in-the-loop verification and validation testing for Connected and Autonomous Vehicles (CAVs). Ali has a background in control theory, and optimal control with interest in Intelligent Transportation Systems (ITS) implementation. In 2012-2013, Ali was a Research Associate at the University of California, Berkeley and he has also been a visiting researcher at BMW Group Technology Office in Mountain View, CA and BMW Information Technology Research Center in Greenville, SC. Ali received his PhD in Dynamic Systems and Controls (Mechanical Engineering) from Clemson University, and his M.Sc. in Electrical and Electronics Engineering from University of Tehran, Iran. His Ph.D. thesis won him the third prize of IEEE Intelligent Transportation Systems Society best dissertation award. Prior to Clemson University, he was an R&D engineer at Kerman Tablo Corp. for three years where he worked on discrete control systems and digital control for embedded systems.