A STUDY OF FLIGHT SIMULATION TRAINING TIME, AIRCRAFT TRAINING TIME, AND PILOT COMPETENCE AS MEASURED BY THE NAVAL STANDARD SCORE

The purpose of the study was to investigate the relationships between US Navy T-45C flight simulation training time, actual aircraft training time, and intermediate and advanced jet pilot competence as measured by the Naval Standard Score (NSS). Examining the relationships between US Navy T-45C flight simulation time and actual aircraft flight time may provide further information on flight simulation training versus actual aircraft training to aviation authorities, flight instructors, the military aviation community, the commercial aviation community, and academia. The study was non-experimental, correlational, causal-comparative with an emphasis upon the establishment of mathematic and predictive relationships using archival data from the Chief of Naval Air Training (CNATRA) Training Information System (TIMS) database. CNATRA aircraft hours, flight simulation hours, and NSS scores of intermediate and advanced flight students from 2015 to 2017 were analyzed and compared. Actual aircraft time was found to be a significant predictor of NSS scores for both intermediate and advanced pilot trainees. Implications of the study include recommendations for future research and strategies to improve flight simulation in pilot training

Aeronautical Engineering: A special bibliography with indexes, supplement 54

This bibliography lists 316 reports, articles, and other documents introduced into the NASA scientific and technical information system in January 1975

Lessons learned from the developmental flight testing of the Terrain Awareness Warning System

The Ground Proximity W aming System (GPWS) currently fielded on the F/A-18A/B/C/D/E/F and AV-8B aircraft is a great safety-backup system that alerts the pilot of an impending Controlled Flight Into Terrain (CFIT) condition. However, it does have one major limitation: the reliance on the look-down radar altimeter, which results in little or no CFiT protection in rising terrain. The Terrain Awareness Warning System (TAWS) is the generational evolution of GPWS that provides the predictive, or look-ahead, capability sorely missing \u27rrom the current system. Utilizing aircraft positioning from the Global Positioning System (GPS) and an onboard Digital Terrain Elevation Data (DTED), TA WS computes recovery trajectories and presents a combination of aural and visual warnings when necessary to cue the pilot to avoid a CFiT condition. TA WS, without being solely reliant on the radar altimeter, has the ability to calculate and present appropriate warnings regardless of aircraft position or attitude. Ultimately, TA WS has to walk a fine line between providing timely warnings that allow the pilot to conduct maximum performance maneuvering during all mission roles, without the impedance of nuisance cues. At the heart of TA WS is a generic algorithm that can be tailored to specific aircraft performance and mission characteristics. This thesis examines all aspects of the flight test of TA WS: the history of GPWS and TA WS in aviation, the conundrum of how to plan a flight test of a terrain avoidance system in close proximity to the ground without endangering aircrew or aircraft, the use of simulation, additional safety precautions, results, lessons learned for program managers and test pilots, and future applications

Training high performance skills using above real-time training

The Above Real-Time Training (ARTT) concept is a unique approach to training high performance skills. ARTT refers to a training paradigm that places the operator in a simulated environment that functions at faster than normal time. Such a training paradigm represents a departure from the intuitive, but not often supported, feeling that the best practice is determined by the training environment with the highest fidelity. This approach is hypothesized to provide greater 'transfer value' per simulation trial, by incorporating training techniques and instructional features into the simulator. These techniques allow individuals to acquire these critical skills faster and with greater retention. ARTT also allows an individual trained in 'fast time' to operate at what appears to be a more confident state, when the same task is performed in a real-time environment. Two related experiments are discussed. The findings appear to be consistent with previous findings that show positive effects of task variation during training. Moreover, ARTT has merit in improving or maintaining transfer with sharp reductions in training time. There are indications that the effectiveness of ARTT varies as a function of task content and possibly task difficulty. Other implications for ARTT are discussed along with future research directions

Research Naval Postgraduate School, v.12, no.3, October 2002

NPS Research is published by the Research and Sponsored Programs, Office of the Vice President and Dean of Research, in accordance with NAVSOP-35. Views and opinions expressed are not necessarily those of the Department of the Navy.Approved for public release; distribution is unlimited

Definition of display/control requirements for assault transport night/adverse weather capability

A Helicopter Night Vision System was developed to improve low-altitude night and/or adverse weather assult transport capabilities. Man-in-the-loop simulation experiments were performed to define the minimum display and control requirements for the assult transport mission and investigate forward looking infrared sensor requirements, along with alternative displays such as panel mounted displays (PMD) helmet mounted displays (HMD), and integrated control display units. Also explored were navigation requirements, pilot/copilot interaction, and overall cockpit arrangement. Pilot use of an HMD and copilot use of a PMD appear as both the preferred and most effective night navigation combination

Multiple man-machine interfaces

The multiple man machine interfaces inherent in military pilot training, their social implications, and the issue of possible negative feedback were explored. Modern technology has produced machines which can see, hear, and touch with greater accuracy and precision than human beings. Consequently, the military pilot is more a systems manager, often doing battle against a target he never sees. It is concluded that unquantifiable human activity requires motivation that is not intrinsic in a machine

X-15, Research at the Edge of Space

X-15 project - history, aircraft design, operational systems, & flight progra

Applications of Artificial Intelligence in Military Training Simulation

This report is a survey of Artificial Intelligence (AI) technology contributions to military training. It provides an overview of military training simulation and a review of instructional problems and challenges which can be addressed by AI. The survey includes current as well as potential applications of AI, with particular emphasis on design and system integration issues. Applications include knowledge and skills training in strategic planning and decision making, tactical warfare operations, electronics maintenance and repair, as well as computer-aided design of training systems. The report describes research contributions in the application of AI technology to the training world, and it concludes with an assessment of future research directions in this area