DEN00LA004
1999-10-14 · DENVER, Colorado, United States · None · 1 aircraft · Status: Completed
Airport DEN
Current FAA registration · N6425X
- Make / Model
- CESSNA 180D
- Year of manufacture
- 1960 · 39 years old at event
- Engine
- CONT MOTOR O-470 SERIES (230 hp)
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 19601114
- ADS-B equipped
- Yes — Mode-S A86FC6
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The excessive taxi speed used by the pilot exiting the runway via a high-speed taxiway resulting in a loss of control. A factor was the crosswind.
Factual narrative
On October 14, 1999, at 1015 mountain daylight time, a Cessna 180D, N6425X, sustained substantial damage when it nosed over during landing roll at Denver International Airport, Denver, Colorado. The private pilot and his pilot certificated passenger were not injured. The flight was operating under Title 14 CFR Part 91 and no flight plan was filed. This personal flight departed Boulder, Colorado, at 0945. Visual meteorological conditions prevailed. According to the pilot, he was exiting the runway (17R) with a right turn onto a high-speed taxiway when the tail and right wing began to rise. The application of heavy breaks had no effect and the aircraft nosed over. At the time of the accident, Denver International Airport recorded wind was from 270 degrees magnetic at 10 knots. There were no gusts recorded. The pilot provided information that he did not believe there was any aircraft malfunction or failure. This was verified by an FAA inspector who examined the aircraft. During landing roll, the aircraft exited the runway via a high-speed taxiway and despite heavy breaking by the pilot the aircraft nosed over. Wind at the time was a direct cross wind recorded at 10 knots. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1999_DEN00LA004.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
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Related research
Matched on aircraft type or causal vocabulary (loss of control). All research papers
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER) A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- Semantic Scholar 2024 · Article (International Conference on Networking and Services) Risk Assessment of Loss of Control In-Flight Trajectories for Urban Air Mobility Safety
In Urban Air Mobility (UAM), maintaining a minimum separation between aircraft is a safety requirement, which becomes challenging amidst congested air traffic and off-nominal conditions, such as Loss …
- NTSB Aircraft Accident Reports 2022 · Accident report Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation) ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.