Autonomous vehicles execute driving decisions across thousands of road scenarios every second. Regulators require operational design domain enforcement, crash reporting within 5 days, and continuous behavioral monitoring. NHTSA has issued $1.5M+ in civil penalties. 3.2 million vehicles are under active investigation. 100+ robotaxis were immobilized in a single fleet cascade event. The governance gap between what vehicles decide and what compliance covers is a public safety risk.
A robotaxi dragged a pedestrian 20 feet, resulting in a $1.5M civil penalty and a nationwide operational suspension. A ride-hail test vehicle killed a pedestrian after its perception system cycled through five different object classifications in six seconds -- with emergency braking disabled. 100+ robotaxis froze simultaneously during evening rush hour, blocking intersections for hours and triggering a national permit freeze. A fleet vehicle bypassed a stopped school bus with active signals, leading to a 3,067-vehicle recall.
Every autonomous vehicle platform governs the driving model's outputs: lane keeping, object detection, path planning. No platform governs the fleet's behavior: ODD violations, perception degradation, emergency response failures, cascade events, remote intervention readiness. Agentomy closes that gap.
Every pattern references a documented incident, a specific regulatory requirement, and a concrete detection method. The 26-method behavioral monitor runs continuously across the fleet operations lifecycle. No theoretical threats. No generic compliance language.
Each layer enforces one aspect of fleet governance -- from individual vehicle ODD compliance to fleet-wide emergency halt across all operating regions.
Every control mapping references the actual regulatory document. No generic compliance language. All mappings are self-assessed, pending external validation. Penalty exposure ranges from NHTSA civil penalties to EUR 35M under the EU AI Act.
| Framework | Status | Scope |
|---|---|---|
| NHTSA SGO 2021-01 | Active (amended 2023) | Mandatory crash reporting for ADS vehicles. 5-day initial report. Updated report within 10 days. Fleet operators must maintain records for 3+ years. Civil penalties up to $26,315/violation/day. |
| NHTSA AV Framework 4.0 | Active (voluntary) | System safety, ODD definition, OEDR, crashworthiness, post-crash behavior. Voluntary self-assessment but increasingly referenced in enforcement actions. |
| UNECE WP.29 R157 | Active | First binding international regulation for Level 3 automated driving (ALKS). Emergency vehicle detection, minimal risk condition, data storage system (DSSAD). Type approval required. |
| EU AI Act (2024/1689) | Aug 2026 / Aug 2027 | AV AI classified as high-risk under Annex III Section 2(a). Risk management, transparency, human oversight. Penalties up to EUR 35M or 7% global turnover. |
| California DMV AV Regs | Active | Title 13 CCR Article 3.7. ODD compliance monitoring, remote intervention capability, collision reporting within 10 days, disengagement reporting. Most comprehensive US state framework. |
| ISO 26262 | Active | Functional safety for road vehicles. ASIL classification A-D. Hardware and software safety requirements. Hazard analysis and risk assessment. Required for type approval. |
| ISO/PAS 21448 (SOTIF) | Active | Safety of the Intended Functionality. Addresses performance limitations and triggering conditions. Complements ISO 26262 for ADS. Weather, sensor degradation, edge cases. |
| UL 4600 | Active | Safety case framework for autonomous products. Claims, arguments, evidence structure. Sensor validation, operational safety, post-deployment monitoring. Cybersecurity for safety-critical systems. |
| SAE J3016 | Active | Taxonomy defining Levels 0-5 of driving automation. Foundation for all AV regulatory frameworks. DDT allocation, fallback requirements, minimal risk condition definition. |
| FMVSS | Active + proposed | Federal Motor Vehicle Safety Standards. FMVSS 141 (proposed) for ADS-equipped vehicles. FMVSS 131 (school bus safety devices). Existing crashworthiness standards. Defect reporting under 49 USC 30166. |
Detected by: ODD Violation, Pedestrian Detection Gap, Incident Reporting Delay
Detected by: Perception Degradation, Pedestrian Detection Gap, Emergency Response Failure
Detected by: Fleet Cascade Failure, Remote Intervention Timeout, Weather Adaptation Failure
Detected by: School Zone Violation, Pedestrian Detection Gap, ODD Violation
Detected by: ODD Violation, Perception Degradation, Emergency Response Failure
Detected by: Weather Adaptation Failure, Environmental Adaptation, Fleet Health Monitor
Connect any fleet management platform through the protocol that fits your infrastructure. Gate mode for pre-operation authorization. Observer mode for post-operation monitoring. Both modes produce the same audit trail.
Suite 9: Autonomous Vehicle Fleet Operations Governance. 20 self-contained, idempotent scenarios across 4 coverage areas: ODD compliance (5), fleet health monitoring (5), SGO reporting compliance (5), and emergency response (5). Every scenario runs against the live governance layer. No mocks. No stubs.
NHTSA SGO enforcement is active. EU AI Act deadlines begin August 2026. UNECE R157 type approval is required for international markets. California DMV permits are revocable. The compliance gap is closing.
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