Simulator Training Improves the Estimation of Collision Parameters and the Performance of Student Pilots

Koglbauer, Ioana Victoria

doi:10.1016/j.sbspro.2015.11.231

Cited by 13 publications

(17 citation statements)

References 8 publications

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“…The main focus in the GA-related literature is on VFR and how that particular method of risk mitigation relates to collision avoidance. As an example, Koglbauer (2015) describes a training method for enhancing pilots' ability to avoid MAC during VFR flight, and Alexander (1970) looks at the probability of MAC under VFR and models the risk as a function of aircraft density in relation to land area.…”

Section: Manned Aircraft Collision Modelingmentioning

confidence: 99%

Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft

Cour-Harbo

Schiøler

2019

Risk Analysis

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Unmanned aircrafts (UA) usually fly below 500 ft to be segregated from manned aircraft. However, while general aviation (GA) usually do fly above 500 ft in areas where UA are allowed to operate, GA will at times also fly below 500 ft. Consequently, there is a distinct risk of near‐miss encounters as well as actual midair collisions (MACs). This work presents a model for determining this risk based on physical parameters of the aircraft and actual figures for the numbers of GA in a given airspace, as well as the probability of having GA below 500 ft. The aim is to achieve a prediction with a precision better than one order of magnitude relative to the true MAC rate value. The model is applied to Danish airspace and the MAC rate for unmitigated operations of UA is found to be approximately 10−6 MAC per flight hour. The model is particularly well suited for beyond visual line‐of‐sight operations, and is useful for UA operators for conducting risk assessment of planned operations as well as for regulators for determining appropriate operational requirements.

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Section: Manned Aircraft Collision Modelingmentioning

confidence: 99%

Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft

Cour-Harbo

Schiøler

2019

Risk Analysis

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“…Performance is also influenced by the type of training (Koglbauer, Braunstingl, Haberkorn, & Prehofer, 2012;Koglbauer 2015a;Koglbauer, 2018a;Koglbauer, Braunstingl, Riesel, & Braunstingl, 2014).…”

Section: Problem Statementmentioning

confidence: 99%

“…An extremely high demand for 617,000 new commercial airline pilots worldwide was forecast by the industry for the next 20 years (Boeing, 2017). A major research field in aviation psychology addresses the selection and training of future pilots, for improving the safety and efficiency of flight training (Koglbauer 2015a(Koglbauer , 2015bLee, Bates, Murray & Martin, 2017;Martinussen & Hunter, 2017).…”

Section: Introductionmentioning

confidence: 99%

Learning Style, Motivation, Emotional State And Workload Of High Performers

Koglbauer¹

2019

The European Proceedings of Social and Behavioural Sciences

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“…In addition, the study discusses instructional methods for collision detection and avoidance. These methods were effective in improving the timeliness of traffic detection (Eichberger et al, 2018), the estimation of collision parameters (e.g., time to collision, relative distance), and the selection of ruleconforming avoidance manoeuvres (Koglbauer, 2015b).…”

Section: Main Bodymentioning

confidence: 99%

“…In a flight simulator study Koglbauer (2015b) showed that student pilots initially overestimate the time to collision and relative distance to other airplanes. Thus, the student pilots that identify other traffic on collision course think that they have longer time to collision and relative distances than they really have (Koglbauer, 2015b).…”

Section:  Estimations Of the Time To Collision And Relative Distancementioning

confidence: 99%

A Review Of Instruction Methods For Collision Detection And Avoidance

Koglbauer¹

2019

The European Proceedings of Social and Behavioural Sciences

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Simulator Training Improves the Estimation of Collision Parameters and the Performance of Student Pilots

Cited by 13 publications

References 8 publications

Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft

Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft

Learning Style, Motivation, Emotional State And Workload Of High Performers

A Review Of Instruction Methods For Collision Detection And Avoidance

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