New frontiers of freeway traffic control and estimation

Maria Laura Delle Monache, Cecilia Pasquale, Matthieu Barreau, Raphael E. Stern

Abstract: This article provides an overview of the classical and new techniques in traffic flow control and estimations. The overview begins with a description of the most used traffic flow models for estimation and control. Then, it shifts towards using those models for traffic flow estimation using physics-informed machine learning techniques. Lastly, it focuses on traffic flow control describing the most classical techniques and the new advancement in traffic control using autonomous vehicles.