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 …

Reliable and efficient validation technologies are critical for the recent development of multi-
vehicle cooperation and vehicle-road-cloud integration. In this paper, we introduce our …

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …

In this letter, we propose a simple yet effective singular value decomposition (SVD) based
strategy to reduce the optimization problem dimension in data-enabled predictive control …

The coordinated ramp metering strategy aims to enhance the traffic flow on freeways by
integrating the effects of multiple on‐ramps. The success of this strategy depends heavily on …

The recently developed DeeP-LCC (Data-EnablEd Predictive Leading Cruise Control)
method has shown promising performance for data-driven predictive control of Connected …

In the field of model predictive control, the Data-enabled Predictive Controller (DeePC)
offers direct predictive control, bypassing traditional modeling. However, challenges emerge …

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …

We present a novel perspective on how connected vehicles can reduce total vehicular delay
arising due to the capacity drop phenomenon observed at fixed freeway bottlenecks. We …