NTSB LAX08CA186 — 2008-06-16 · Sandpoint, Idaho, United States

Aircraft involved

N1018S Alon A2 None

Probable cause & factual narrative

Full text not yet ingested for this event. The authoritative report lives in the docket on data.ntsb.gov. Open NTSB docket ↗

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Related research

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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.