Behavioral systems theory decouples the behavior of a system from its representation. A key
result is that, under a persistency of excitation condition, the image of a Hankel matrix …

For the control of connected and autonomous vehicles (CAVs), most existing methods focus
on model-based strategies. They require explicit knowledge of car-following dynamics of …

Connected and automated vehicles (CAVs) have great potential to smooth mixed traffic flow.
To focus on the fact that the driving styles of HDVs are time-varying, a new control framework …

In this article, we present the first experimental results of data-driven predictive control for
connected and autonomous vehicles (CAVs) in dissipating traffic waves. In particular, we …

Connected and automated vehicles (CAVs) have shown great potential in improving the
energy efficiency of road transportation. Energy savings, however, greatly depends on …

Connected and automated vehicles (CAVs) have recently gained prominence in traffic
research due to advances in communication technology and autonomous driving. Various …

Data-driven cooperative control of connected and automated vehicles (CAVs) has gained
extensive research interest as it can utilize collected data to generate control actions without …

The development of control methods based on data has seen a surge of interest in recent
years. When applying data-driven controllers in real-world applications, providing theoretical …

Connected and automated vehicles (CAVs) technologies promise to attenuate undesired
traffic disturbances. However, in mixed traffic where human-driven vehicles (HDVs) also …

Jam-absorption driving (JAD) is a novel connected and automated vehicle-based (CAV-
based) control strategy that uses either a single or several absorbing cars to clear moving …