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2405.18791

A new platooning model for connected and autonomous vehicles to improve string stability

Shouwei Hui, Michael Zhang

incompletemedium confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper states two claims: (i) P-OVM is always linearly stable on a ring (Theorem 3.2), and (ii) for T-OVM there is a stability threshold (a+b)^2/a > 2 V'(h) for N large enough (Theorem 3.3). The proof for P-OVM in the paper only analyzes the 2-vehicle subsystem (y1,yN) and then posits an ansatz for the rest (eqs. (8)–(14)) without a full eigenanalysis, so it is incomplete; nevertheless, the conclusion is likely true . For T-OVM, the appendix explicitly relies on an informal N→∞ argument and says a more rigorous proof is future work (eqs. (27)–(30)), so this part is also incomplete . By contrast, the model gives a complete spectral decomposition for P-OVM (showing all coupling eigenvalues are real and nonpositive, hence all nontrivial modes are stable) and a plausible, more detailed bulk–boundary perturbation argument for T-OVM that recovers the same stability threshold; despite a minor inconsistency in the leader’s damping in one line of the linearization, the model’s conclusions and derivations are essentially correct and stronger than the paper’s. The baseline OVM stability threshold a > 2V'(h) is consistent across both sources (Appendix A) .

Referee report (LaTeX)

\textbf{Recommendation:} major revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The manuscript advances a leader-referenced platoon control (P-OVM) and a transition-phase variant (T-OVM) and claims clear linear stability benefits. These claims are valuable and supported by simulations, but the mathematical proofs are incomplete: P-OVM's proof does not treat the full eigenstructure of the linearized system, and T-OVM's stability is justified by an informal large-N limit with an explicit note that rigor is deferred. Addressing these issues with a complete spectral analysis would substantially improve correctness and impact.