4 papers
Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
Samuel Mallick, Gianpietro Battocletti, Dimitris Boskos +2
Cooperative control of groups of autonomous vehicles (AVs), i.e., platoons, is a promising direction to improving the efficiency of autonomous transportation systems. In this conte…
Safe model-based Reinforcement Learning via Model Predictive Control and Control Barrier Functions
Kerim Dzhumageldyev, Filippo Airaldi, Azita Dabiri
Optimal control strategies are often combined with safety certificates to ensure both performance and safety in safety-critical systems. A prominent example is combining Model Pred…
A state reduction approach for learning-based model predictive control for train rescheduling
Caio Fabio Oliveira da Silva, Xiaoyu Liu, Azita Dabiri +1
This paper proposes a state reduction method for learning-based model predictive control (MPC) for train rescheduling in urban rail transit systems. The state reduction integrates…
Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections
Azita Dabiri, Giray Önür, Sebastien Gros +1
This paper tackles the challenge of coordinating traffic lights and automated vehicles at signalized intersections, formulated as a constrained finite-horizon optimal control probl…