Finding Precursory Air Traffic Management Safety Metrics Using Exploration of Trajectory Radar Tracks

被引:2
|
作者
Barragan Montes, Rocio [1 ]
Gomez Comendador, Fernando [1 ]
Nieto, Francisco Javier Saez [2 ]
Perez Sanz, Luis [1 ]
机构
[1] Tech Univ Madrid, Aeronaut & Space Engn Sch, Pza Cardenal Cisneros 3, Madrid 28040, Spain
[2] Cranfield Univ, Ctr Aeronaut, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England
关键词
All Open Access; Green;
D O I
10.1061/(ASCE)AS.1943-5525.0000796
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The definition of a set of precursory safety metrics is critical to detect when an airspace is degrading in terms of safety and thus undesired effects are becoming more likely. Furthermore, safety metrics are paramount in the measurement of the impact of new operational procedures or technical improvements in the air traffic control system. The study presented in this paper introduces three safety metrics (reaction time performance indicator, time to closest point of approach performance indicator, and time to closest point of approach critical limit ratio) derived from a given airspace and a sizable, assorted traffic sample extracted from traffic surveillance track data. The metrics are used to characterize the airspace as a function of the safety outcome, which can be continuously overseen. The final goal of the safety metrics is to be used as an airspace safety warning system, where precursory metrics would signal the need to act to maintain the air traffic control system safety target in the face of operational, organizational, technical, or legal changes. (C) 2017 American Society of Civil Engineers.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Air traffic management performance assessment using flight inefficiency metrics
    Reynolds, Tom G.
    [J]. TRANSPORT POLICY, 2014, 34 : 63 - 74
  • [2] Sensitivity of trajectory prediction in air traffic management
    Jackson, MR
    Zhao, YYJ
    Slattery, RA
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1999, 22 (02) : 219 - 228
  • [3] Multi-modal Air Trajectory Traffic Management
    Henderson, Thomas C.
    Marston, Vista
    Sacharny, David
    [J]. INTELLIGENT AUTONOMOUS SYSTEMS 18, VOL 2, IAS18-2023, 2024, 794 : 247 - 255
  • [4] Optimal free flight trajectory in air traffic management
    Wu, JW
    Tsang, KM
    Chan, WL
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2003, : 645 - 650
  • [5] Management of radar tracking systems for air traffic control
    Besada, JA
    García, J
    de Miguel, G
    Casar, JR
    [J]. RADAR 2002, 2002, (490): : 325 - 329
  • [6] Safety management of traffic growth in air transportation
    Department of Control and Transport Automation, BME, Bertalan L. u. 2. H-1111 Budapest, Hungary
    [J]. Period Polytech Transp Eng, 2008, 1-2 (69-72):
  • [7] Aircraft trajectory prediction and synchronization for air traffic management applications
    Mondoloni, Stephane
    Rozen, Nicholas
    [J]. PROGRESS IN AEROSPACE SCIENCES, 2020, 119 (119)
  • [8] Air Traffic Trajectory Clustering Using Procrustes Analysis
    Chiaratti, Anthony
    McFadyen, Aaron
    [J]. 2023 IEEE/AIAA 42ND DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC, 2023,
  • [9] An Improved Trajectory Prediction Algorithm based on Trajectory Data Mining for Air Traffic Management
    Song, Yue
    Cheng, Peng
    Mu, Chundi
    [J]. PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2012, : 981 - 986
  • [10] NARMA: New Radar Architectures for Air Traffic Management and Metereology
    Buonanno, A.
    D'Urso, M.
    Meliado, E. F.
    Ascione, M.
    [J]. 2014 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (METROAEROSPACE), 2014, : 565 - 569