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.
Publication date:
December 1, 2022
Publication type:
Conference Paper
Citation:
Delle Monache, M. L., Pasquale, C., Barreau, M., & Stern, R. (2022). New Frontiers of Freeway Traffic Control and Estimation. 2022 IEEE 61st Conference on Decision and Control (CDC), 6910–6925. https://doi.org/10.1109/CDC51059.2022.9993221