From Road Congestion to Vehicle-Control Enabled Artificial Traffic Fluids

Fuente: arXiv
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Main Authors: Karafyllis, Iasson, Theodosis, Dionysios, Papageorgiou, Markos, Krstic, Miroslav
Format: Preprint
Published: 2024
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author Karafyllis, Iasson
Theodosis, Dionysios
Papageorgiou, Markos
Krstic, Miroslav
author_facet Karafyllis, Iasson
Theodosis, Dionysios
Papageorgiou, Markos
Krstic, Miroslav
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2405_05558
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle From Road Congestion to Vehicle-Control Enabled Artificial Traffic Fluids
Karafyllis, Iasson
Theodosis, Dionysios
Papageorgiou, Markos
Krstic, Miroslav
Optimization and Control
Systems and Control
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.
title From Road Congestion to Vehicle-Control Enabled Artificial Traffic Fluids
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2405.05558