Distributed Kuramoto Self-Synchronization of Vehicle Speed Trajectories in Traffic Networks

This article presents a distributed synchronization strategy for connected and automated vehicles in traffic networks. The considers traveling from one intersection to the next as waves. phase angle frequency of each wave map its position velocity, respectively. goal is synchronize such that intersecting waves are out at every intersection. ensures safe collective navigation intersections. Vehicles share their angles through V2X infrastructure, these using Kuramoto equation. classical model self-synchronization coupled oscillators. mapping between location on different roads designed navigation. Each vehicle uses constrained optimal control policy achieve desired target upcoming overall outcome algorithm simultaneously tackles two challenges traditionally addressed independently, namely: coordinating crossing an individual intersection, harmonizing flow adjacent Simulation studies highlight positive impact this fuel consumption delay time, compared network with traditional light timing.