Professor Andreas Malikopoulos delivered a talk entitled “A Decentralized Optimal Control Framework for Coordination of Connected and Automated Vehicles” at the University of Pennsylvania on October 5th, 2018.

Connected and automated vehicles (CAVs) provide the most intriguing and promising opportunity for enabling users to better monitor transportation network conditions and make better operating decisions to reduce energy consumption, greenhouse gas (GHG) emissions, travel delays and improve safety. One key question that remains unanswered is “how much can we improve fuel consumption, if we assume that the vehicles are connected and can exchange information with each other and with infrastructure?” In this talk, Professor Malikopoulos presented a decentralized optimal control framework whose closed-form solution exists under certain conditions, and which yields the optimal acceleration/deceleration for each vehicle at any time to minimizing fuel consumption.

See details of this event at: https://precise.seas.upenn.edu/events/seminar/20181005-precise-seminar-decentralized-optimal-control-framework-coordination