Regulator Design for a Congested Continuum Traffic Model with App-Routing Instability

TL;DR

This paper develops a control strategy for a linearized continuum traffic model incorporating app-based routing feedback, ensuring stability of congestion states despite destabilizing real-time routing influences.

Contribution

It introduces a novel backstepping boundary control method for a hyperbolic PDE model with non-local boundary conditions caused by app routing feedback.

Findings

The control guarantees exponential stability of congestion states for small initial data.

The extended backstepping method accounts for non-local boundary conditions.

The model demonstrates stability under real-time app routing influences.

Abstract

In this paper, we propose a control design methodology for a linearized continuum traffic model in the congested regime. The continuum traffic flow on a highway is modeled using a linearized quasilinear hyperbolic partial differential equation model known as the Aw-Rascle-Zhang (ARZ) model. The linear traffic model is augmented with a novel non-local boundary condition representing car influx due to the use of routing apps such as Google Maps and Waze. The routing apps act as real-time previews for highway traffic, introducing potentially destabilizing feedback in the app-based navigation decision process, necessitating the development of a feedback controller. We first study small-time H^1 solutions of the linearized model with the addition of the app-routing for sufficiently small initial data. We introduce an extended, multi-tiered boundary control design based upon the method of infinite-dimensional backstepping. Using an intermediate decoupling transformation, we account for the non-local boundary condition arising from routing app feedback. We study the existence of the extended backstepping method by characterizing the existence of the companion kernels associated with the backstepping method. Finally, we study the linear ARZ model with the app-routing extension under the designed feedback, and show that for sufficiently small H^1 data, the equilibrium congestion solution is exponentially stable and guarantees the existence of closed-loop solutions on the infinite time interval.