From Road Congestion to Vehicle-Control Enabled Artificial Traffic Fluids
<|reference_start|>From Road Congestion to Vehicle-Control Enabled Artificial Traffic Fluids: This article provides an overview of the design of nonlinear feedback Cruise Controllers (CCs) for automated vehicles on lane-free roads. The feedback design problem is particularly challenging because of the various state constraints (e.g., collision-free movement, road geometry, speed limits) as well as the nature of the control objective (globally stabilizing distributed controllers that require measurements from neighboring vehicles only). Therefore, the resulting nonlinear control system is defined on an open set (not necessarily diffeomorphic to a linear space) for which the set of desired equilibria is non-compact. The proposed design of the CCs is based on energy-like control Lyapunov functions which combine potential functions with kinetic energy terms and other appropriate penalty terms. The feedback design in the microscopic level is accompanied by the derivation of the corresponding macroscopic traffic flow models. Explicit relations are established between selectable CC features and the obtained macroscopic traffic flow characteristics. This facilitates the active design of efficient traffic flow with desired properties, i.e., the construction of artificial traffic fluids.<|reference_end|>
@article{karafyllis2024from,
    title={From Road Congestion to Vehicle-Control Enabled Artificial Traffic
  Fluids},
    author={Iasson Karafyllis, Dionysios Theodosis, Markos Papageorgiou, Miroslav
  Krstic},
    journal={arXiv preprint arXiv:2405.05558},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.05558},
    primaryClass={math.OC cs.SY eess.SY}
}