Stability and bifurcation in network traffic flow: A Poincar\'e map approach

TL;DR

This paper introduces a Poincaré map approach to analyze the stability and bifurcations of traffic flow in diverge-merge networks, revealing conditions for stationary, periodic, and unstable traffic patterns.

Contribution

It develops a novel Poincaré map method to study traffic stability, extending analysis to complex networks and identifying bifurcation phenomena related to route choices.

Findings

Poincaré map fixed points correspond to stationary flow rates.

Unstable maps exhibit period-two points but no chaos.

Bifurcation analysis reveals stability changes with route choice proportions.

Abstract

Previous studies have shown that, in a diverge-merge network with two intermediate links (the DM network), the kinematic wave model always admits stationary solutions under constant boundary conditions, but periodic oscillations can develop from empty initial conditions. Such contradictory observations suggest that the stationary states be unstable. In this study we develop a new approach to investigate the stability property of traffic flow in this and other networks. Based on the observation that kinematic waves propagate in a circular path when only one of the two intermediate links is congested, we derive a one-dimensional, discrete Poincar\'e map in the out-flux at a Poincar\'e section. We then prove that the fixed points of the Poincar\'e map correspond to stationary flow-rates on the two links. With Lyapunov's first method, we demonstrate that the Poincar\'e map can be finite-time stable, asymptotically stable, or unstable. When unstable, the map is found to have periodical points of period two, but no chaotic solutions. Comparing the results with those in existing studies, we conclude that the Poincar\'e map can be used to represent network-wide dynamics in the kinematic wave model. We further analyze the bifurcation in the stability of the Poincar\'e map caused by varying route choice proportions. We further apply the Poincar\'e map approach to analyzing traffic patterns in more general $(DM)^n$ and beltway networks, which are sufficient and necessary structures for network-induced unstable traffic and gridlock, respectively. This study demonstrates that the Poincar\'e map approach can be efficiently applied to analyze traffic dynamics in any road networks with circular information propagation and provides new insights into unstable traffic dynamics caused by interactions among network bottlenecks.