NTSB CAROL · Event
Event WPR12CA330
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during landing.
Factual narrative
The pilot stated to the NTSB investigator immediately after the accident that he had pulled off the power, and during the landing flare, the airplane ballooned with increasing oscillations veering left off the runway. He applied left rudder to avoid another taxing airplane, and impacted a row of hangars. In a following written statement the pilot stated that during landing his right foot got caught between the rudder pedal and the control column cover. In the process of freeing his foot the airplane pitched up and down, veered off the runway, he applied left rudder to avoid a taxiing airplane, and impacted a row of hangars. The pilot stated that he airplane and engine had no preaccident mechanical malfunctions or failures that would have precluded normal operation. The pilot stated immediately after the accident that during the landing flare, after he had reduced the power, the airplane ballooned with increasing oscillations and veered left off the runway. He applied left rudder to avoid another taxiing airplane and impacted a row of hangars. In a subsequent written statement, the pilot indicated that his right foot got caught between the rudder pedal and the control column cover during landing. In the process of freeing his foot, the airplane pitched up and down and veered off the runway; he “jammed” the left rudder to avoid a taxiing airplane, and the right wing of his airplane impacted a row of hangars. There were no preaccident mechanical malfunctions or failures that would have precluded normal operation of the airplane. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- — Environmental issues-Physical environment-Object/animal/substance-Airport structure-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2012_WPR12CA330.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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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 2023 · arXiv preprint
Large-eddy simulations of the NACA23012 airfoil with laser-scanned ice shapes
In this study, five ice shapes generated at NASA Glenn's Icing Research Tunnel (IRT) are simulated at multiple angles of attack (Broeren et al., J. of Aircraft, 2018).
- arXiv 2023 · arXiv preprint
Novel Online-Offline MA2C-DDPG for Efficient Spectrum Allocation and Trajectory Optimization in Dynamic Spectrum Sharing UAV Networks
Unmanned aerial vehicle (UAV) communication is of crucial importance for diverse practical applications. However, it is susceptible to the severe spectrum scarcity problem and interference since it op…
- Semantic Scholar 2019 · Article (International Conference on Interaction Sciences)
Using lda2vec Topic Modeling to Identify Latent Topics in Aviation Safety Reports
The study of aviation safety report in the aviation industry usually relies on manually labeled data sets, and then classifies and models related problems, which have become insufficient in the face o…
- arXiv 2026 · arXiv preprint
Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning
In the envisioned future dense urban airspace, multiple companies will operate heterogeneous fleets of small unmanned aerial systems (sUASs), where each fleet includes several homogeneous aircraft wit…
- arXiv 2025 · arXiv preprint
Developing Fundamental Diagrams for Urban Air Mobility Traffic Based on Physical Experiments
Urban Air Mobility (UAM) is an emerging application of unmanned aerial vehicles that promises to reduce travel time and alleviate congestion in urban transportation systems.
- arXiv 2025 · arXiv preprint
Spatially Consistent Air-to-Ground Channel Modeling and Simulation via 3D Shadow Projections
We present an approach for spatially-consistent semi-deterministic Air-to-Ground (A2G) channel modeling in Unmanned Aerial Vehicle-assisted networks.
Browse the full corpus — academia portal ↗