Graph Based Performance Analysis of Distributed Vehicle Platoon Systems Under Various Information Flow Topologies

This study investigates the coordination of vehicle platoon systems across diverse Information Flow Topologies (IFTs), addressing associated challenges and opportunities. Key factors, including node dynamics, decentralized controllers, IFTs, and geometric formations, are considered. The analysis focuses on evaluating the performance of vehicle platoon systems under both unidirectional and bidirectional IFTs, assuming a spanning tree structure. A stability analysis is conducted to assess system behavior. Furthermore, the impact of introducing new directed links into existing IFTs on the eigenvalues of the Information Flow Matrix (IFM) is theoretically examined. The results demonstrate that the eigenvalues of the IFM with added edges are greater than or equal to those of the initial IFT. This increase in eigenvalues accelerates convergence, indicating that strategic modifications to IFTs can significantly enhance the performance of vehicle platoon systems.