A model of air traffic control sector capacity based on air traffic controller workload

被引:13
|
作者
Janic, M [1 ]
机构
[1] Inst Traff & Transport, Ljubljana, Slovenia
关键词
Air Traffic Control (ATC); sector capacity; radar controller workload; internal mental model;
D O I
10.1080/03081069708717596
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper presents an analytical model for determining the ultimate capacity of an Air Traffic Control (ATC) sector. This capacity is expressed by the maximum number of aircraft that can be served in the sector in a given period of time under given conditions. These conditions are defined by the constant demand for service, the given traffic scenario in the sector and the air traffic control equipment used for management of air traffic in the sector. The model is based on the quantification of the radar air traffic controller workload generated by monitoring of the radar display and executing the control tasks over the aircraft (traffic) passing through the sector. The radar controller is assumed to apply an "internal mental model" during the monitoring and execution of the control tasks.
引用
收藏
页码:311 / 335
页数:25
相关论文
共 50 条
  • [1] Review for Workload Measurement of Air Traffic Controller Based on Air Traffic Complexity
    Song Zhuoxi
    Chen Yangzhou
    Li Zhenlong
    Zhang Defu
    Bi Hong
    [J]. 2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 2107 - 2112
  • [2] Cross-sector transferability of metrics for air traffic controller workload
    Rahman, S. M. B. Abdul
    Borst, C.
    van Paassen, M. M.
    Mulder, M.
    [J]. IFAC PAPERSONLINE, 2016, 49 (19): : 313 - 318
  • [3] A method to estimate air traffic controller mental workload based on traffic clearances
    Tobaruela, Gonzalo
    Schuster, Wolfgang
    Majumdar, Arnab
    Ochieng, Washington Y.
    Martinez, Luis
    Hendrickx, Peter
    [J]. JOURNAL OF AIR TRANSPORT MANAGEMENT, 2014, 39 : 59 - 71
  • [4] Workload-Based Capacity for Air Traffic Manangement
    Lindsay, Kenneth S.
    [J]. TRANSPORTATION RESEARCH RECORD, 2015, (2501) : 9 - 17
  • [5] Developing a predictive model of controller workload in Air Traffic Management
    Kilner, A
    Hook, M
    Fearnside, P
    Nicholson, P
    [J]. CONTEMPORARY ERGONOMICS 1998, 1998, : 409 - 413
  • [6] Air Traffic Controller Workload Detection Based on EEG Signals
    Shao, Quan
    Li, Hui
    Sun, Zhe
    [J]. SENSORS, 2024, 24 (16)
  • [7] Estimating capacity of Europe's airspace using a simulation model of air traffic controller workload
    Majumdar, A
    Polak, J
    [J]. ISSUES IN AVIATION: AIRPORTS, CAPACITY, AND AIR TRAFFIC CONTROL AND MANAGEMENT: AVIATION, 2001, (1744): : 30 - 43
  • [8] A Method of Evaluating Air Traffic Controller Time Workload
    Dmochowski, Piotr Andrzej
    Skorupski, Jacek
    [J]. DEVELOPMENT OF TRANSPORT BY TELEMATICS, TST 2019, 2019, 1049 : 363 - 376
  • [9] Study on air traffic controller workload measurement based on DORATASK method
    Yuan, Leping
    Sun, Ruishan
    Wang, Lei
    Liu, Lu
    Shi, Ruifang
    [J]. PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2011, : 345 - 347
  • [10] Predicting Air Traffic Controller Workload: Trajectory Uncertainty as the Moderator of the Indirect Effect of Traffic Density on Controller Workload Through Traffic Conflict
    Corver, Sifra Christina
    Unger, Dana
    Grote, Gudela
    [J]. HUMAN FACTORS, 2016, 58 (04) : 560 - 573