• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.191-197
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• 2015

본 논문에서는 공항 지상 감시 장비(ASDE: Airport Surface Detection Equipment) 데이터를 이용하여 항공기의 지상이동 운항모드를 추정하는 방법을 제안하였다. 제안된 방법에서는 항공기의 운항모드와 그에 따라 관측되는 속도 및 가속도를 확률 변수로 정의함으로써, 확률적 추정방법을 통해 운항모드를 추정하였다. 운항모드를 추정하기 위한 모형으로서는 은닉 마르코프 모형(HMM: Hidden Markov Model)을 사용하였으며 실제 ASDE 데이터를 통해 제안된 방법의 성능을 검증해 보았다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.3
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• pp.51-60
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• 2017

Estimation of the taxi-out and taxi-in times of aircraft on a airport surface is one of the essential features of Departure Manager (DMAN). Especially for an airport with multiple runways and large ramp areas, estimation of the taxi-out and taxi-in times are mainly dependent on the taxi routes on airport surface. This paper described the method of automatic extraction of the the taxi routes using the ASDE track data and the Dijkstra algorithm based on the node-link model of a airport surface movements. In addition, we analyzed the ground operation status of Incheon International Airport using the extracted taxi routes.

• Journal of Aerospace System Engineering
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• v.6 no.3
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• pp.19-23
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• 2012

"The FAA's Next Generation Air Transportation System" is a comprehensive overhaul of U.S National Airspace System to make air travel more convenient and dependable, while ensuring the flight is as safe, secure and hassle-free as possible. At its most basic level, NextGen represents an evolution from a ground-based system of air traffic control to a satellite-based system of air traffic management. This evolution is vital to meeting future demand, and to avoiding gridlock in the sky and at U.S airports. NextGen will open worldwide's skies to continued growth and increased safety while reducing aviation's environmental impact.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.4
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• pp.1-7
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• 2014

The purpose of study is to investigate the current user interface level of air traffic control system with the usability analysis and satisfaction survey questionnaire on user satisfaction. Think aloud protocol is used to identify not only task analysis, but also the level of user-friendliness of the FIMS and ASDE system, and the user interface questionnaires was conducted by QUIS. We collected data from 6 controllers for Think aloud protocol and 15 controllers for QUIS in Incheon airport. The results showed that the system was the valuable tool for ensuring human performance with the support of memory and the facilitation of decision-making tasks. It helps air traffic controllers perform better and minimize errors in a congested time. The human-computer interface system design, however, was not applied, which led to the increase of workload. Air traffic controller participation in software development provided excellent examples for applications in terms of software in FIMS. Based on these results, the study provided that the usability of system interface was necessary to take into account human factors. The development and design of system was discussed in User Interface environment.