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This research addresses the critical challenge of maintaining safety in cooperative driving systems when internal models diverge from external reality due to sensor failures or semantic inconsistencies. By introducing an integrity metric that regulates control authority, the proposed Integrity-Gated Eco-CACC framework ensures a safe transition between energy-optimized and fallback maneuvers without relying on traditional robust control approximations. The work advances autonomous vehicle safety by formally treating epistemic admissibility as a prerequisite for executing eco-driving strategies at signalized intersections.
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Integrity-Gated Eco-CACC: Epistemic Admissibility for Cooperative Driving at Signalized Intersections

arXiv2 min read

arXiv:2607.18565v1 Announce Type: cross Abstract: Eco-Cooperative Adaptive Cruise Control (Eco-CACC) systems rely on accurate localization, signal timing, and interaction awareness to optimize energy consumption at signalized intersections. Existing approaches typically assume that the internal world model used for optimization remains valid, making them vulnerable when sensing outages or semantic inconsistencies invalidate planning premises. This letter proposes an Integrity-Gated Eco-CACC framework that explicitly monitors the consistency between internal vehicle beliefs and external sensing. A unified integrity metric is constructed by combining positional innovation, observability loss, and semantic inconsistencies. The resulting trust score regulates control authority, enabling a transition between nominal eco-driving and a safety-dominant fallback maneuver. Unlike robust control methods that attempt to preserve performance under uncertainty, the proposed framework regulates whether energy-optimal control remains admissible. Scenario-based simulations demonstrate that the method preserves nominal efficiency when model consistency is maintained, while enabling early and conservative responses under integrity degradation.

Abstract:Eco-Cooperative Adaptive Cruise Control (Eco-CACC) systems rely on accurate localization, signal timing, and interaction awareness to optimize energy consumption at signalized intersections. Existing approaches typically assume that the internal world model used for optimization remains valid, making them vulnerable when sensing outages or semantic inconsistencies invalidate planning premises. This letter proposes an Integrity-Gated Eco-CACC framework that explicitly monitors the consistency between internal vehicle beliefs and external sensing. A unified integrity metric is constructed by combining positional innovation, observability loss, and semantic inconsistencies. The resulting trust score regulates control authority, enabling a transition between nominal eco-driving and a safety-dominant fallback maneuver. Unlike robust control methods that attempt to preserve performance under uncertainty, the proposed framework regulates whether energy-optimal control remains admissible. Scenario-based simulations demonstrate that the method preserves nominal efficiency when model consistency is maintained, while enabling early and conservative responses under integrity degradation.

Systems and Control (eess.SY); Robotics (cs.RO)

arXiv:2607.18565 [eess.SY]

(or arXiv:2607.18565v1 [eess.SY] for this version)

https://doi.org/10.48550/arXiv.2607.18565 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 240 words

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