Control, Learning, and Optimization Methods for Autonomous Multi-Agent Systems in Transportation

2025/by Christos Cassandras

[C322]Cassandras, C.G., Johansson, K.H., and Malikopoulos, A.A.,

Control, Learning, and Optimization Methods for Autonomous Multi-Agent Systems in Transportation Proc. of 64th IEEE Conference on Decision and Control, To appear 2025.

Articles

Safe Interactions Between Autonomous and Human-Driven Vehicles with Cooperation Compliance for Social Optimality" in Control, Learning and Optimization with Applications in Connected and Autonomous Vehicles (Malikopoulos, A., Gao, W. and Jiang, Z-P., Ed’s), To appear 2025

Optimal Sequencing and Motion Control in a Roundabout with Safety and Comfort Guarantees" IEEE Trans. on Intelligent Transportation Systems, 2025

Learning for Feasible and Safe Control with Control Barrier Functions: A Tutorial" Cybernetics and Intelligence, To appear 2025

Scalable Adaptive Traffic Light Control Over a Traffic Network Including Turns, Transit Delays, and Blocking" J. of Discrete Event Dynamic Systems, 2025

Safe Model Predictive Control of a Non-Holonomic Mobile Manipulator Under Multiple Constraints using Control Barrier Functions" IEEE Access, Vol. 13, pp. 76638-76653, 2025

Robust Optimal Lane-changing Control for Connected Autonomous Vehicles in Mixed Traffic" Automatica, Vol. 174, 112169, 2025