From Road Congestion to Vehicle-Control Enabled Artificial Traffic Fluids

TL;DR

This paper reviews the design of nonlinear feedback cruise controllers for automated vehicles on lane-free roads, linking microscopic control strategies to macroscopic traffic flow models to create artificial traffic fluids.

Contribution

It introduces a novel control design framework using energy-like Lyapunov functions and establishes explicit links between vehicle-level controls and traffic flow properties.

Findings

Design of nonlinear cruise controllers with energy-like Lyapunov functions.

Explicit relations between control features and traffic flow characteristics.

Framework for creating artificial traffic fluids with desired properties.

Abstract

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.