When Cooperation Should End: Maneuver Coordination Cancellation for Connected Automated Driving

Javier Gozalvez; Miguel Sepulcre; Onur Altintas; Rafael Molina-Masegosa; Sergei S. Avedisov

arxiv: 2606.22052 · v1 · pith:6THS252Lnew · submitted 2026-06-20 · 💻 cs.NI

When Cooperation Should End: Maneuver Coordination Cancellation for Connected Automated Driving

Rafael Molina-Masegosa , Sergei S. Avedisov , Miguel Sepulcre , Javier Gozalvez , Onur Altintas This is my paper

Pith reviewed 2026-06-26 11:15 UTC · model grok-4.3

classification 💻 cs.NI

keywords maneuver coordinationconnected automated drivingV2X communicationcooperative drivingcancellationstate machinedecision logic

0 comments

The pith

Canceling unsuitable maneuver coordinations frees vehicles sooner and raises the count of successful ones.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents a full design for ending maneuver coordinations that can no longer succeed, using a state machine to track status, dedicated messages to signal termination, and logic to decide when to stop. This keeps vehicles from staying locked in plans that will not work, so they can start fresh negotiations instead. Evaluation shows the change cuts wasted time, lifts the total number of coordinations that get triggered, and improves how many of them reach success. The work focuses on termination because most prior designs addressed only how to begin and carry out coordinations.

Core claim

The paper establishes that a complete cancellation system, built from a state machine, a message set, and decision-making logic, allows vehicles to terminate ongoing coordinations when they become unsuitable, which reduces the time spent in failing attempts, makes vehicles available for new maneuvers sooner, and increases both the number of triggered coordinations and the number that succeed.

What carries the argument

A state machine together with a cancellation message set and decision logic that monitors coordination viability and triggers termination when success is no longer possible.

If this is right

Vehicles locked in failing coordinations become free to attempt new ones without waiting for the original plan to time out.
More coordinations get initiated overall because fewer vehicles remain occupied by doomed interactions.
The fraction of initiated coordinations that reach successful completion rises.
Cooperative driving as a whole uses negotiation resources more efficiently.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

The same cancellation approach could be combined with existing V2X message standards to support mixed fleets.
Decision thresholds might need adjustment when traffic density changes or when human-driven vehicles are present.
Termination rules may prove as critical as initiation rules in any multi-vehicle negotiation system.
Real-world deployment would require testing how often false cancellations occur and whether they create new safety issues.

Load-bearing premise

The decision logic can correctly identify which coordinations will fail in time to cancel them before they waste significant resources.

What would settle it

A simulation or test run that disables the cancellation feature and measures whether the total number of successful coordinations stays the same or drops compared with the version that includes cancellation.

Figures

Figures reproduced from arXiv: 2606.22052 by Javier Gozalvez, Miguel Sepulcre, Onur Altintas, Rafael Molina-Masegosa, Sergei S. Avedisov.

**Figure 1.** Figure 1: Vehicle roles, state machine and messages for maneuver coordination implementation. Cancellation state, message and transitions have been added for the cancellation implementation in this work. When a vehicle initiates coordination, it assumes the role of the Host Vehicle (HV) and transitions to the HV Negotiation state. In this state, the HV transmits Request messages every 100 ms (the minimum transmissio… view at source ↗

**Figure 2.** Figure 2: Modular architecture of the complete maneuver coordination cancellation implementation A. Cancellation management module The cancellation management module governs the protocol and state machine operations required once a cancellation has been triggered. To support its implementation, we extend the maneuver coordination state machine with the new elements needed for cancellation, as shown in Fig.1. On the … view at source ↗

**Figure 3.** Figure 3: Coordination time from triggering to abortion for all unsuccessful and cancelled coordinations. Solid lines indicate averages; shaded areas show 10th and 90th percentiles. This capability is particularly valuable in situations where rapid maneuvering or enhanced responsiveness is critical. Moreover, earlier cancellations free capacity in the coordination process, leading to an overall increase in the numbe… view at source ↗

**Figure 4.** Figure 4: Number of triggered coordinations per vehicle per hour [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗

**Figure 5.** Figure 5: Number of successful, unsuccessful, and cancelled coordinations per vehicle per hour with cancellation disabled and enabled. VI. CONCLUSIONS This paper presented the design, implementation, and evaluation of maneuver coordination cancellation for connected automated driving. While existing research and standardization efforts have addressed how to initiate and execute coordinated maneuvers, our work focuse… view at source ↗

read the original abstract

Maneuver coordination is essential for cooperative connected automated driving, enabling vehicles to negotiate maneuvers and interactions through V2X communication. While prior work has largely focused on how to initiate and execute coordinations, considerably less attention has been given to how ongoing coordinations should be terminated when they become unsuitable. This paper introduces the first complete design and implementation of maneuver coordination cancellation, including a state machine, message set, and decision-making logic. Our evaluation shows that cancellation significantly reduces the time vehicles spend in coordinations that cannot succeed, allowing them to become available for new maneuvers sooner. This increases the number of triggered coordinations and improves the number of successful maneuver coordinations. Overall, the study demonstrates that maneuver coordination cancellation improves cooperative driving, and establishes a foundation for further refinements that can enhance the efficiency and robustness of connected automated driving.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

The paper supplies the first full design for canceling doomed maneuver coordinations via state machine and messages, but the abstract gives no numbers or decision criteria, so the claimed efficiency gains stay unverified.

read the letter

The main takeaway is that this work supplies the first complete design for canceling a maneuver coordination once it becomes unsuitable. It includes a state machine, a set of messages, and decision logic, and the authors state that their evaluation shows vehicles spend less time stuck in failing coordinations, which lets them start new ones and raises the overall success count.

What is actually new is the termination side of the process. Earlier papers handled initiation and execution but left open what happens when a coordination turns out to be impossible. Filling that gap with concrete messages and logic is a reasonable next step for V2X-based cooperative driving.

The evaluation is described only at a high level. No quantitative results, simulation parameters, baselines, or error metrics appear in the abstract, so the size of the reported gains cannot be checked. The decision logic itself is not described, which leaves open how it detects a doomed coordination and whether it accounts for packet loss, trajectory uncertainty, or mixed human-automated traffic. The stress-test concern about false-positive or false-negative cancellations is therefore still live until the full paper shows the criteria and the robustness tests.

No equations or parameter fitting are involved, so there is no circularity issue. The contribution rests on the design and its reported behavior.

This paper is for people working on vehicular network protocols and cooperative automated driving simulations. A reader who needs to implement or evaluate maneuver coordination would get direct value from the state machine and message definitions.

It deserves a serious referee to inspect the full logic, the simulation details, and whether the gains survive realistic conditions. I would send it to review.

Referee Report

1 major / 1 minor

Summary. The paper introduces the first complete design and implementation of maneuver coordination cancellation for connected automated driving. It includes a state machine, message set, and decision-making logic for terminating unsuitable ongoing coordinations. The evaluation claims that this approach significantly reduces the time vehicles spend in coordinations that cannot succeed, allowing earlier availability for new maneuvers and thereby increasing both the number of triggered coordinations and the number of successful ones.

Significance. If the results hold, the work addresses an under-explored aspect of V2X-based cooperative driving by providing a mechanism to abort failing coordinations, which could improve overall efficiency and resource utilization in connected automated vehicles. The explicit design artifacts (state machine and messages) offer a concrete foundation for extensions in robustness and integration with existing maneuver coordination protocols.

major comments (1)

[Decision-making logic and evaluation] Decision-making logic and evaluation sections: The headline result—that cancellation reduces time in failing coordinations and raises successful ones—depends on the state machine and decision logic correctly classifying doomed coordinations. No criteria, thresholds, robustness arguments, or validation against packet loss, sensor noise, or non-cooperative drivers are supplied, leaving the measured gains unverifiable and the central claim unsupported by evidence.

minor comments (1)

[Abstract] The abstract states qualitative benefits without referencing any quantitative metrics, simulation parameters, or baselines; this should be aligned with the evaluation section for consistency.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive feedback and for recognizing the novelty of the maneuver coordination cancellation design. We address the major comment below.

read point-by-point responses

Referee: [Decision-making logic and evaluation] Decision-making logic and evaluation sections: The headline result—that cancellation reduces time in failing coordinations and raises successful ones—depends on the state machine and decision logic correctly classifying doomed coordinations. No criteria, thresholds, robustness arguments, or validation against packet loss, sensor noise, or non-cooperative drivers are supplied, leaving the measured gains unverifiable and the central claim unsupported by evidence.

Authors: We agree that the evaluation's validity hinges on clear specification of the decision logic and its robustness. Section 3 of the manuscript presents the state machine, message set, and decision-making logic, including cancellation triggers based on coordination state stagnation and protocol timeouts. However, explicit numerical thresholds, formal robustness arguments, and validation under packet loss, sensor noise, or non-cooperative drivers are indeed not provided. We will revise the manuscript to add a new subsection in Section 3 detailing the exact criteria and thresholds employed in the simulations, include a robustness analysis section discussing protocol-level mitigations, and extend the evaluation in Section 4 with additional scenarios incorporating these impairments to substantiate the reported gains. revision: yes

Circularity Check

0 steps flagged

No circularity: design proposal with independent simulation evaluation

full rationale

The paper presents a novel state machine, message set, and decision-making logic for maneuver coordination cancellation, evaluated via simulation to show reduced time in unsuccessful coordinations. No equations, derivations, parameter fittings, or self-citation chains appear in the provided text or abstract. The claims rest on the proposed implementation's measured outcomes rather than reducing to inputs by construction, making the work self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review provides no equations, parameters, or explicit assumptions; no free parameters, axioms, or invented entities can be identified.

pith-pipeline@v0.9.1-grok · 5686 in / 1005 out tokens · 10441 ms · 2026-06-26T11:15:50.374882+00:00 · methodology

discussion (0)

Reference graph

Works this paper leans on

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