• Title/Summary/Keyword: ADS-B data

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The design and implementation of a cockpit display with ADS-B (ADS-B가 적용된 조종석 디스플레이 기능 구현)

  • Hong, Gyo-Young;Kim, Young-In;Ahn, Dong-Man
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.18 no.2
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    • pp.9-15
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    • 2010
  • ADS-B(Automatic Dependent Surveillance-Broadcast) has been recognized as a key component of Surveillance and ATM in CNS/ATM System. In addition to providing surveillance for air traffic control(ATC), ADS-B also supports airborne applications such as enhanced traffic situational awareness through the display of other aircraft to pilots and flight crew. It provides the real-time and same air traffic information to pilots in the aircraft cockpit, air traffic controllers in tower and surface vehicles on the ground at the same time. Aircraft Cockpit Display Unit will display the given information precisely and accurately. This paper describes progress in the development of a Cockpit Display with ADS-B data that enable pilots to acquire, verify and maintain pre-defined spacing intervals from other aircraft for general aviation and small regional aircraft. The designed display provides analogous information in the form of traffic position, range, and ground speed, etc.

A Study on Creative Strategy Related to Expression Advertisement for Missy Brand- Focused on ELLe's Advertisement (Missy Brand 의 고아고 크리에이티브 전략에 관한 연구 - ELLE 광고를 중심으로-)

  • 송윤주;정성혜
    • Journal of the Korean Society of Costume
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    • v.50 no.3
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    • pp.161-178
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    • 2000
  • This study intended to provide the visual basic data of efficient fashion advertising for Missy Brands in the 21 th by investigating and analyzing the creative strategy related to expression of fashion advertisement. The Research methdologies were as follow. First, the change of domestic advertising industry, theoretical background of the creative strategy and the condition and problems in the domestic Missy market were studied through the relevant fashion advertisement and periodical publications. Second, the content analysis was done using the advertisement of Missy Brands in Fashion magazine, " ELLE" which were published from 1992 to 1998. (3/6/9/12). The results were summarized as follows: First, the ELLE's analysis results were to increase in number of the advertisements for the teenager Brand fro 1993 and for the I.B.(Imported Brand) or L.B(License Brand) from 1995. As a result of the analyses, we suppose that a number of advertisements are proportional related to the sales of Brands. Second, the re were significant differences between D.B. (Domestic Brand) and I.B(Imported Brand) or L.B.(License Brand ) in the change of creative strategy for Missy Brands advertisements. The creative strategy of D.B. ads was used more importantly in linsuistic message than in visual message. On the contrary, the creative strategy of I.B.(L.B) ads, attached importance to the visual message(photo). Third, the ads of TIME showed ads, effect to have relevance to sales. The creative strategy of TIME ads. appeals to consumer for consistent Brand image, at the same time reflects the distinctive Brand image from the other. This study was suggested the creative strategy change of TIME through the visual data base.data base.

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Risk Analysis of Aircraft Operations in Seoul TMA Based on DAA Well Clear Metrics using Recorded ADS-B Data (ADS-B 데이터를 이용한 서울 TMA에서의 DAA Well Clear 기반 위험도 분석)

  • Lee, Hak-Tae;Lee, Hyeonwoong
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.527-532
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    • 2020
  • Seoul terminal maneuvering area (TMA) that includes Incheon International Airport (ICN) and Gimpo International Airport is a very congested airspace with around 1,000 daily flights and the airspace blocked at the boundary between Incheon flight information region (FIR) and Pyongyang FIR. Consequently, with frequency radar vectorings, separation assurance in this airspace is complicated thus resulting in higher controller workload. In this paper, the conflict and collision risks in Seoul TMA are analyzed using recorded ADS-B data for past three years. Using the recorded trajectories, original flight plan procesures and routes are reconstructed and the risks are quantified using detect and avoid well clear (DWC) metric that is developed for large unmanned aircraft system. The region west of ICN was found to be the highest risk area regardless of the runway directions. In addition, merge and crossing points between procedures displayed relatively high risks.

A Study on the improvement of the Multilateration data by emplying an IMM filter (IMM 필터를 활용한 Multilateration 정확도 향상에 관한 연구)

  • Cho, Tae-Hwan;Song, In-Seong;Jang, Eun-Mee;Yoon, Wan-Oh;Choi, Sang-Bang
    • Journal of Advanced Navigation Technology
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    • v.16 no.4
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    • pp.578-585
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    • 2012
  • CNS/ATM(Communication Navigation Surveillance/Air Traffic Management) was adopted as a standard navigation system of 21st century. Therefore, ICAO(International Civil Aviation Organization) members are developing the technology and infrastructure of CNS/ATM. ADS-B(Automatic Dependent Surveillance-Broadcast) system and Multilateration system are being implemented in the surveillance field of CNS/ATM. Multilateration system is installed in order to complement radar system and to surveil blind areas. Also, Multilateration system using TDOA(Time Difference Of Arrival) is more accurate than radar. In this paper, we applied an IMM(Interacting Multiple Model) filter which is widely used in radar systems to the Multilateration data in order to improve the reliability of the Multilateration data. Comparisons with the original Multilateration data and the Multilateration data with the IMM filter show that the ADS-B data with the IMM filter provides a better performance: 38.37% near the airport, 20.86% around 10 miles of the airport.

Robust Filtering Algorithm for Improvement of Air Navigation System (항행시스템 성능향상을 위한 강인한 필터링 알고리즘)

  • Cho, Taehwan;Kim, Jinhyuk;Choi, Sangbang
    • Journal of Advanced Navigation Technology
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    • v.19 no.2
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    • pp.123-132
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    • 2015
  • Among various fields of the CNS/ATM, the surveillance field which includes ADS-B system, MLAT system, and WAM system is implemented. These next generation systems provide superior performance in tracking aircrafts. However, They still have error. In this paper, filtering algorithm is proposed in order to enhance aircraft tracking performance of ADS-B, MLAT, and WAM systems. The proposed method is a Robust Interacting Multiple Model filter, called Robust IMM filter, that improves IMM filter. The Robust IMM filter can not only improves the aircraft tracking performance but also track aircraft continually using estimates calculated from the filter when data losses occur. The simulation results of the proposed aircraft tracking methods show that the filtering data provides a better performance up to an average of 19.21%.

An Efficient Information Fusion Method for Air Surveillance Systems (항공감시시스템을 위한 효율적인 정보융합 기법)

  • Cho, Taehwan;Oh, Semyoung;Lee, Gil-Young
    • Journal of Advanced Navigation Technology
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    • v.20 no.3
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    • pp.203-209
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    • 2016
  • Among the various fields in the communications, navigation, and surveillance/air traffic management (CNS/ATM) scheme, the surveillance field, which includes an automatic dependent surveillance - broadcast (ADS-B) system and a multilateration (MLAT) system, is implemented using satellite and digital communications technology. These systems provide better performance than radar, but still incur position error. To reduce the error, we propose an efficient information fusion method called the reweighted convex combination method for ADS-B and MLAT systems. The reweighted convex combination method improves aircraft tracking performance compared to the original convex combination method by readjusting the weights given to these systems. In this paper, we prove that the reweighted convex combination method always provides better performance than the original convex combination method. Performance from the fusion of ADS-B and MLAT improves an average of 51.51% when compared to the original data.

Data Preprocessing and ML Analysis Method for Abnormal Situation Detection during Approach using Domestic Aircraft Safety Data (국내 항공기 위치 데이터를 활용한 이착륙 접근 단계에서의 항공 위험상황 탐지를 위한 데이터 전처리 및 머신 러닝 분석 기법)

  • Sang Ho Lee;Ilrak Son;Kyuho Jeong;Nohsam Park
    • Journal of Platform Technology
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    • v.11 no.5
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    • pp.110-125
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    • 2023
  • In this paper, we utilize time-series aircraft location data measured based on 2019 domestic airports to analyze Go-Around and UOC_D situations during the approach phase of domestic airports. Various clustering-based machine learning techniques are applied to determine the most appropriate analysis method for domestic aviation data through experimentation. The ADS-B sensor is solely employed to measure aircraft positions. We designed a model using clustering algorithms such as K-Means, GMM, and DBSCAN to classify abnormal situations. Among them, the RF model showed the best performance overseas, but through experiments, it was confirmed that the GMM showed the highest classification performance for domestic aviation data by reflecting the aspects specialized in domestic terrain.

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Analysis of Runway Occupancy Time Using ADS-B Message about Landing Airplane (ADS-B를 이용한 착륙 항공기의 활주로 점유 시간 분석)

  • Ku, SungKwan;Baik, Hojong
    • Journal of Advanced Navigation Technology
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    • v.20 no.3
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    • pp.167-174
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    • 2016
  • Runway and taxiway is base facilities for aircraft take off and landing and runway capacity is one of major factor for airport capacity. Runway occupancy time is affect on the runway capacity. The identification of aircraft using taxiway by analysis of airport ground surveillance data and the measurement of pass time on the points is general method for the confirmation of the runway occupancy time. This study is runway occupancy time analysis of landing airplane using ADS-B message, in this study we surveyed landing aircraft runway occupancy time and analysis of serviced record using taxiway include rapid exit taxiway. The result of analysis is to confirm the different of landing direction and aircraft category on the same runway caused by structure of airport. Also the result of runway occupancy time analyzed data, it is base input data for the air transportation simulation.

Risk Analysis of Flight Procedures at Incheon International Airport and Gimpo International Airport (인천국제공항과 김포국제공항의 비행 절차 위험도 분석)

  • Lee, Hyeonwoong;Lee, Hak-Tae
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.500-507
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    • 2020
  • This paper presents a risk assessment methodology for standard flight procedures using recorded automatic dependent surveillance-broadcast (ADS-B) data. Utilizing the proposed methodology, the results of risk analyses in RKSI (incheon international airport) and RKSS (gimpo international airport) using trajectories that are regenerated based on 100 days of ADS-B data are presented. For the risk metric, detect and avoid well clear (DWC) is used. With this index, each procedure was evaluated for the sections with highest level of risk. Among the standard instrument departure (SID) of RKSI, the section between SI712 and RANOS of RNAV BOPTA 1L showed the highest level of risk. For the standard terminal arrival route (STAR) of RKSI, section between SI947 and DANAN of RNAV GUKDO 1N wasthe one with the highest level of risk. For RKSS, the segment between SS726 and SS727 of RNAV BULTI 1X and the segment between KAKSO and KALMA of RNAV OLMEN 1D showed the highest level of risk among the SIDs and STARs, respectivly.

Airspeed Estimation Through Integration of ADS-B, Wind, and Topology Data (ADS-B, 기상, 지형 데이터의 통합을 통한 대기속도 추정)

  • Kim, Hyo-Jung;Park, Bae-Seon;Ryoo, Chang-Kyung;Lee, Hak-Tae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.1
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    • pp.67-74
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    • 2022
  • To analyze the motion of aircraft through computing the dynamics equations, true airspeed is essential for obtaining aerodynamic loads. Although the airspeed is measured by on-board instruments such as pitot tubes, measurement data are difficult to obtain for commercial flights because they include sensitive data about the airline operations. One of the commonly available trajectory data, Automatic Dependent Surveillance-Broadcast data, provide aircraft's speed in the form of ground speed. The ground speed is a vector sum of the local wind velocity and the true airspeed. This paper present a method to estimate true airspeed by combining the trajectory, meteorological, and topology data available to the public. To integrate each data, we first matched the coordinate system and then unified the altitude reference to the mean sea level. We calculated the wind vector for all trajectory points by interpolating from the lower resolution grid of the meteorological data. Finally, we calculate the true airspeed from the ground speed and the wind vector. These processes were applied to several sample trajectories with corresponding meteorological data and the topology data, and the estimated true airspeeds are presented.