Seminar at Carnegie Mellon University: A Decentralized Optimal Control Framework for Energy-Efficient Mobility Systems

Dr. Andreas Malikopoulos delivered a talk entitled “A Decentralized Optimal Control Framework for Energy-Efficient Mobility Systems” at the MechE Seminar Series in the Department of Mechanical Engineering at Carnegie Mellon University on March 29, 2019.

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 emissions, travel delays and improve safety. While several studies have shown the benefits of CAVs to alleviate traffic congestion and reduce fuel consumption in specific transportation scenarios, 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, Dr. Malikopoulos presented a decentralized optimal control framework whose closed-form solution exists under certain conditions, and which, based on Hamiltonian analysis, yields for each vehicle the optimal acceleration/deceleration at any time in the sense of minimizing fuel consumption while avoiding collisions.

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