AEGIS — Autonomous Emergency Guidance and Intervention System: Predictive Runway and Terminal-Airspace Collision Prevention; Cooperative AI Coordination and Emergency Override Authority

AEGIS — Autonomous Emergency Guidance and Intervention System

Predictive Runway and Terminal-Airspace Collision Prevention; Cooperative AI Coordination and Emergency Override Authority

John Swygert

November 2, 2026

Abstract

This third AEGIS companion paper proposes a unified research architecture for preventing collisions on runways, during taxi and takeoff, in terminal airspace, and during low-altitude aircraft–rotorcraft encounters. Part I addresses predictive detection of conflicting aircraft, vehicles, terrain, and runway occupancy using onboard and airport-surface information. Part II extends the original aircraft-resident AEGIS architecture into a cooperative network in which local AI systems exchange state and intent while a central AEGIS coordination service can issue time-critical, coordinated emergency-control directives to multiple aircraft. Aircraft retain independent onboard protection when external communications are unavailable. Central commands are authenticated, bounded, and checked by local safety supervisors before execution. The paper proposes measurable collision-avoidance experiments, including replay of historical runway and terminal-airspace accidents, fault injection, human-in-the-loop evaluation, and independent statistical assessment. The goal is to preserve separation before emergencies arise and to establish whether coordinated intervention improves outcomes without introducing unacceptable common-mode hazards.

Keywords: AEGIS; runway incursion; terminal airspace; collision avoidance; cooperative AI; rotorcraft; ground surveillance; emergency override; distributed safety; flight simulation; human–automation interaction.

1. Relationship to the First Two AEGIS Papers

The November 1, 2026 AEGIS architecture paper defines continuous onboard monitoring, dynamic safety envelopes, a communications-independent safety island, and bounded intervention authority. The November 2, 2026 telemetry-testing companion defines historical reconstruction, counterfactual replay, stress testing, and independent statistical validation. This paper adds collision-specific sensing and prediction, cooperative communication between aircraft, and a central coordination and emergency-override tier. It extends rather than replaces the onboard safety architecture: routine local autonomy remains operational even when no central message is received.

PART I — PREDICTIVE RUNWAY, GROUND, AND LOW-ALTITUDE COLLISION PREVENTION

2. Research Problem and Operational Scope

Collision threats emerge in different operational settings: a landing aircraft approaches an occupied runway; a taxiing aircraft crosses an active runway; a helicopter hovers adjacent to a runway while another aircraft descends nearby; a ground vehicle enters an approach or runway protection zone; or two aircraft converge in terminal airspace. Existing surveillance, air traffic control, pilot visual acquisition, and collision-alert systems provide valuable protections, but coverage, altitude limitations, equipage, latency, and human response can leave gaps. AEGIS asks whether an integrated predictor can identify unsafe convergence early enough to preserve multiple feasible separation options.

3. Collision-Relevant Monitoring Domains

• Aircraft position, velocity, acceleration, attitude, altitude, uncertainty, and predicted swept volume.

• Runway geometry, taxiway topology, approach and departure corridors, terrain and fixed obstacles.

• Landing, takeoff, taxi, hover, missed-approach and other declared or inferred operational intentions.

• Cooperative aircraft broadcasts, authenticated AEGIS peer messages, surveillance tracks, and airport-surface data.

• Ground vehicles and noncooperative traffic detected by airport surveillance or onboard sensing where available.

• Rotorcraft hover locations, rotor-disc exclusion zones, downwash uncertainty, and aircraft wake interactions.

• Visibility, precipitation, wind, runway conditions, sensor reliability, and communication quality.

• Aircraft-specific maneuvering and stopping limits, landing configuration, remaining runway, and time to conflict.

4. Predictive Conflict Detection

For each tracked object j, AEGIS maintains a time-stamped estimated state, confidence bounds, and a set of plausible near-future trajectories. Collision assessment compares uncertainty-expanded protected volumes over a prediction horizon, accounting for terrain, aircraft geometry, operational phase, and performance limits. A nominal point-to-point distance is insufficient: track uncertainty, delayed data, maneuver uncertainty, and the consequences of a missed detection must be represented explicitly. Alerts should prioritize actionable conflicts and their available resolution windows, not merely proximity.

A collision-threat classification should distinguish a routine close but protected operation, an emerging conflict with feasible preventive alternatives, an imminent conflict requiring urgent intervention, and a state in which available data or control authority cannot support a reliable recommendation. The system must also avoid nuisance warnings that could themselves disrupt safe landings or create unstable maneuvers.

5. Runway and Ground-Surface Prevention

An AEGIS-equipped aircraft should independently compare its cleared or intended runway use against observed runway occupancy and predicted incursions. Where available, airport-surface surveillance and vehicle tracking provide additional inputs, but the aircraft should not require airport infrastructure for every protective function. The research should evaluate warning, rejected-takeoff advisories where physically feasible, go-around advisories, hold-short commands in compatible ground-control systems, and coordinated prevention of conflicting runway entry. The design must distinguish an advisory from an actuation command and evaluate stopping distance, thrust response, aircraft configuration, and safe escape paths.

6. Rotorcraft, Hover, and Low-Altitude Operations

Rotorcraft may operate close to runways, grass areas, taxiways, and fixed-wing approach paths. AEGIS should treat the helicopter as a dynamic three-dimensional object rather than a stationary map obstacle, including rotor clearance, hover drift, and uncertain wake effects. A suspected wake-induced upset must not be assumed from trajectory alone. Experiments should compare direct geometric collision risks, wake-interaction hypotheses supported by aerodynamic models, and alternate approach or hover paths. In some circumstances the safer action may be for the helicopter to reposition; in others the fixed-wing aircraft may need to go around. Both possibilities should be evaluated before the situation becomes critical.

7. Reference Accident Classes

USAir Flight 1493 / SkyWest Flight 5569, Los Angeles, February 1, 1991: a runway collision illustrates the need for independent runway-occupancy prediction and warnings that do not rely solely on a clearance being correct. The January 29, 2025 collision near Ronald Reagan Washington National Airport between an American Airlines regional jet and a U.S. Army helicopter illustrates terminal-airspace trajectory conflict and the need to reconcile mixed aircraft operations. A reported 2026 Carlisle-area airplane–helicopter collision is a candidate for low-altitude and rotorcraft proximity analysis once authoritative records and sufficiently detailed data are available. Cases are illustrative research inputs, not proof that AEGIS would have prevented any specific event.

PART II — COOPERATIVE AI AIRSPACE COORDINATION AND EMERGENCY OVERRIDE

8. Two-Tier AEGIS Architecture

8.1 Autonomous aircraft-resident AEGIS

Each equipped aircraft maintains its own flight-state estimation, predictive safety monitoring, local collision-risk assessment, and bounded safety controller. It can function without external messages, continuing to assess onboard sensor data and any locally available surveillance. It may exchange state, intent, hazard confidence, and proposed avoidance plans with neighboring equipped aircraft and with the central coordination network.

8.2 Central AEGIS coordination service

A separate airspace-wide AEGIS service aggregates authenticated aircraft and surveillance information, models intersecting trajectories across multiple participants, and coordinates compatible conflict-resolution plans. Under defined emergency conditions, it may assume temporary supervisory control over the affected AEGIS-equipped aircraft by issuing coordinated, time-bounded maneuver directives. This is a proposed research authority model, not a claim that present aircraft or air traffic systems already support such control.

8.3 Authority hierarchy

Normal operation is pilot-directed with autonomous local monitoring. Preventive coordination provides advisories and compatible negotiated trajectories. A declared imminent collision can activate a centrally coordinated emergency override only when the participating aircraft have compatible control interfaces and a validated authority pathway. Every aircraft-resident safety supervisor independently checks command authenticity, freshness, aircraft limits, terrain clearance, and locally observable hazards before actuation. The central service must not bypass these local protections.

9. Cooperative Communications and Shared Intent

The network should communicate a compact, versioned representation of position and covariance, time reference, trajectory intent, operational mode, available maneuver envelopes, and coordination acknowledgments. Messages require authentication, replay protection, sequencing, time synchronization, and explicit expiration. AEGIS must distinguish confirmed peer intent from inferred intent and must not treat a missing acknowledgment as acceptance. A coordinated resolution becomes valid only under a defined commitment protocol that prevents two aircraft from executing incompatible versions of the plan.

10. Central Emergency Intervention

When a predicted collision crosses a validated intervention threshold, the central service evaluates joint maneuver candidates rather than issuing isolated commands to each aircraft. Candidate actions are screened against each participant’s aircraft-specific flight envelope, terrain and obstacle constraints, third-party traffic, timing, and the consequences of nonparticipation. If a safe coordinated plan is available and authority conditions are satisfied, the central system transmits a synchronized set of emergency directives. Each onboard controller independently validates and executes its assigned bounded action, then reports observed response. The central system updates the plan as the encounter evolves and relinquishes emergency authority once verified separation and stable control are restored.

The research must explicitly test partial execution: one aircraft may reject, miss, delay, or be unable to perform its assigned maneuver. A safe design cannot assume perfect participation or guaranteed network latency. If the coordinated plan becomes invalid, aircraft revert to locally assured collision protection, while the central service must avoid issuing conflicting stale instructions.

11. Independence, Failure Containment, and Cybersecurity

Central coordination improves shared awareness but creates new common-mode risks. AEGIS therefore needs fault containment between the central optimizer and each aircraft’s deterministic safety controller; resilient communication and clock handling; independent detection of implausible central commands; conservative behavior on stale or conflicting messages; and documented fallback priorities. Tests must include central outage, compromised or spoofed messages, split-brain coordination, simultaneous network partitions, erroneous shared traffic tracks, GNSS disruption, overloaded computation, and failures that affect multiple aircraft at once. No single central failure should automatically cause multiple aircraft to follow unsafe commands.

12. Human Interface and Emergency Authority Governance

Pilots and controllers require concise information about the threat, the planned maneuver, which aircraft are participating, current authority, and when control will be returned. The design should investigate explicit indications of central override and straightforward disengagement or override procedures compatible with the safety case. Emergency authority must be narrowly scoped by location, aircraft equipage, certified operating conditions, verified conflict urgency, and maximum intervention duration. Authority conflicts involving pilots, air traffic control, onboard automation, and central coordination require formal hazard analysis and regulator-led governance before any operational implementation.

13. Counterfactual Testing Program

The companion telemetry methodology should be applied to runway, surface, and terminal-airspace cases, starting before the first visible conflict. Reconstruct observed aircraft and vehicle tracks with evidence grades, timestamp uncertainty, and alternate plausible trajectories. Compare baseline operations, local AEGIS-only protection, cooperative aircraft-to-aircraft coordination, and centrally coordinated AEGIS with emergency override. Preserve strict time-of-knowledge limits: the algorithms may use only information that would have been available at the simulated moment.

• Test runway-occupied approaches, rejected takeoff windows, taxi crossings, and false runway occupancy reports.

• Test converging jet–helicopter trajectories with unequal maneuvering performance and different communication capabilities.

• Test mixed-equipped and non-equipped aircraft, including aircraft that do not comply with a coordinated plan.

• Vary surveillance delay, message loss, time synchronization, weather, visibility, and sensor bias.

• Inject unsafe central directives and verify that local safety supervisors reject them.

• Include benign close-proximity operations as negative controls to quantify unnecessary interventions.

• Use frozen held-out accidents and routine-flight cases; disclose model versions, seeds, exclusions, and uncertainty bounds.

14. Quantitative Evaluation

The primary outcome is the probability of a pre-specified collision-free, aircraft-safe resolution under matched scenario ensembles. Secondary measures include minimum separation, time to first actionable warning, protected-volume incursions, false intervention frequency, successful joint-plan commitment, intervention latency, aircraft-envelope violations, go-around or diversion burden, and adverse outcomes caused by automation. Estimate differences between baseline, local-only, cooperative, and central-override conditions with uncertainty intervals and scenario-stratified results. Repeated simulations of one historical accident must not be misrepresented as independent real-world accident evidence.

15. Research Hypotheses

• H1: Integrated runway-occupancy and trajectory prediction increases actionable warning lead time relative to relevant baseline systems.

• H2: Cooperative exchange of aircraft state and intent reduces unresolved predicted conflicts compared with local sensing alone.

• H3: Centrally coordinated multi-aircraft maneuvers improve simulated separation outcomes compared with independently selected avoidance maneuvers in defined scenarios.

• H4: Bounded central emergency override improves outcomes in selected imminent-conflict scenarios without unacceptable false or harmful interventions.

• H5: Aircraft-resident safety supervision prevents unsafe central commands from producing out-of-envelope control actions under specified fault models.

• H6: Loss of central connectivity does not disable essential local hazard detection and collision protection.

16. Development and Independent Validation Pathway

Phase I: establish requirements, aircraft and airport operational design domains, data interfaces, and authority boundaries. Phase II: reconstruct historical cases and develop aircraft- and rotorcraft-specific simulation models. Phase III: conduct cooperative multi-agent Monte Carlo experiments with adverse communication and sensor conditions. Phase IV: implement a central coordinator and local safety islands in hardware-in-the-loop and distributed real-time simulation. Phase V: conduct human-in-the-loop evaluations and independently reviewed safety-case development. Any eventual flight trials or certification activities require appropriate aviation authorities, aircraft manufacturers, operators, and safety engineers.

17. Limitations and Open Research Questions

A coordinated network cannot guarantee collision prevention: not every aircraft is equipped; some hazards arise too quickly; surveillance can be incomplete; central commands can arrive late; and some maneuvers may be physically impossible. Centralized emergency control also raises challenging certification, legal, cybersecurity, liability, interoperability, and governance questions. Research must demonstrate that the added coordination layer improves overall safety, including rare failures and interactions with existing collision-avoidance systems, rather than merely producing successful demonstrations in favorable simulations.

18. Conclusion

AEGIS can be extended from independent onboard hazard prediction to a cooperative aviation safety network that anticipates runway, surface, rotorcraft, and terminal-airspace conflicts. The proposed architecture combines autonomous aircraft-resident protection, shared aircraft-to-aircraft intent, and a central AI coordination service capable of temporary, bounded emergency override. Its defining objective is to prevent incompatible aircraft trajectories before they become unrecoverable and to coordinate remaining safe options when immediate intervention is necessary. The research program provides a path for aviation engineers and safety institutions to evaluate, challenge, improve, or reject the concept using reproducible evidence.

Selected Foundational References and Research Cases

• Swygert, John. AEGIS — Autonomous Emergency Guidance and Intervention System: A Standalone, Predictive, Safety-Assured Architecture for Aircraft Hazard Convergence Detection and Emergency Stabilization. November 1, 2026.

• Swygert, John. AEGIS — Autonomous Emergency Guidance and Intervention System: Telemetry Reconstruction, Counterfactual Flight Testing, and Statistical Optimization of Predictive Accident Prevention. November 2, 2026.

• National Transportation Safety Board. Aircraft Accident Report: Runway Collision of USAir Flight 1493 and SkyWest Flight 5569, Los Angeles International Airport, February 1, 1991.

• National Transportation Safety Board. Investigation materials concerning the January 29, 2025 midair collision near Ronald Reagan Washington National Airport.

• Federal Aviation Administration. Aeronautical Information Manual, sections concerning collision avoidance, airport operations, and traffic procedures.

• Federal Aviation Administration. Advisory and technical material on runway safety and airport-surface surveillance.

• RTCA DO-178C. Software Considerations in Airborne Systems and Equipment Certification.

• SAE ARP4754A and ARP4761A. Aircraft systems development and safety assessment guidance.

• RTCA DO-326A / ED-202A. Airworthiness Security Process Specification.

Companion AEGIS Publications

1. Swygert, John. (November 1, 2026). AEGIS — Autonomous Emergency Guidance and Intervention System: A Standalone, Predictive, Safety-Assured Architecture for Aircraft Hazard Convergence Detection and Emergency Stabilization.
   
   

2. Swygert, John. (November 2, 2026). AEGIS — Autonomous Emergency Guidance and Intervention System: Telemetry Reconstruction, Counterfactual Flight Testing, and Statistical Optimization of Predictive Accident Prevention.
   
   

The present paper is the third publication in the AEGIS research series. It extends the foundational aircraft safety architecture and telemetry-based validation methodology to runway and terminal-airspace collision prevention, cooperative AI coordination, and centrally authorized emergency intervention.