NTSB CAROL · Event
Event DCA10IA015
Registry · N483A
FAA Aircraft Registry record.
Make / Model
MCDONNELL DOUGLAS DC-9-82(MD-82)
Year of manufacture
1988 · 21 years old at event
Engine
P & W JT8D SERIES
Seats / Engines
172 seats · 2 engines
Last airworthiness date
19881215
ADS-B equipped
Yes — Mode-S A5F3BE
Registrant of record
ARCTIC ONE LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & factual narrative
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type. Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- arXiv 2025 · arXiv preprint
A Novel MDP Decomposition Framework for Scalable UAV Mission Planning in Complex and Uncertain Environments
This paper presents a scalable and fault-tolerant framework for unmanned aerial vehicle (UAV) mission management in complex and uncertain environments.
- arXiv 2025 · arXiv preprint
Model Identification Adaptive Control with $ρ$-POMDP Planning
Accurate system modeling is crucial for safe, effective control, as misidentification can lead to accumulated errors, especially under partial observability.
- arXiv 2024 · arXiv preprint
LEMDA: A Lagrangian-Eulerian Multiscale Data Assimilation Framework
Lagrangian trajectories are widely used as observations for recovering the underlying flow field via Lagrangian data assimilation (DA).
- arXiv 2023 · arXiv preprint
Investigation of risk-aware MDP and POMDP contingency management autonomy for UAS
Unmanned aircraft systems (UAS) are being increasingly adopted for various applications. The risk UAS poses to people and property must be kept to acceptable levels.
- arXiv 2020 · arXiv preprint
Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict
Pre-departure flight plan scheduling for Urban Air Mobility (UAM) and cargo delivery drones will require on-demand scheduling of large numbers of aircraft.
- arXiv 2026 · arXiv preprint
Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods
Real-time rooftop wind-speed distribution is important for the safe operation of drones and urban air mobility systems, wind control systems, and rooftop utilization.
Browse the full corpus — academia portal ↗