Statistical characterization of deviations from planned flight trajectories in air traffic management

被引:17
作者
Bongiorno, C. [1 ]
Gurtner, G. [2 ,3 ]
Lillo, F. [4 ]
Mantegna, R. N. [1 ,5 ,6 ]
Micciche, S. [1 ]
机构
[1] Univ Palermo, Dipartimento Fis & Chim, Viale Sci,Ed 18, I-90128 Palermo, Italy
[2] Deep Blue Srl, Pzza Buenos Aires, Rome, Italy
[3] Univ Westminster, 35 Marylebone Rd, London NW1 5LS, England
[4] Scuola Normale Super Pisa, Piazza Cavalieri 7, Pisa, Italy
[5] Cent European Univ, Ctr Network Sci, Nador 9, H-1051 Budapest, Hungary
[6] Cent European Univ, Dept Econ, Nador 9, H-1051 Budapest, Hungary
关键词
TRANSPORTATION NETWORK; AIRPORT NETWORK; DELAY PROPAGATION;
D O I
10.1016/j.jairtraman.2016.10.009
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Understanding the relation between planned and realized flight trajectories and the determinants of flight deviations is of great importance in air traffic management. In this paper we perform an in-depth investigation of the statistical properties of planned and realized air traffic on the German airspace during a 28 day periods, corresponding to an AIRAC cycle. We find that realized trajectories are on average shorter than planned ones and this effect is stronger during night-time than day-time. Flights are more frequently deviated close to the departure airport and at a relatively large angle-to-destination. Moreover, the probability of a deviation is higher in low traffic phases. All these evidences indicate that deviations are mostly used by controllers to give directs to flights when traffic conditions allow it. Finally we introduce a new metric, termed di-fork, which is able to characterize navigation points according to the likelihood that a deviation occurs there. Di-fork allows to identify in a statistically rigorous way navigation point pairs where deviations are more (less) frequent than expected under a null hypothesis of randomness that takes into account the-heterogeneity of the navigation points. Such pairs can therefore be seen as sources of flexibility (stability) of controllers traffic management while conjugating safety and efficiency. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:152 / 163
页数:12
相关论文
共 38 条
  • [1] [Anonymous], 2012, J AIR TRANSPORT STUD
  • [2] Analysis of the airport network of India as a complex weighted network
    Bagler, Ganesh
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (12) : 2972 - 2980
  • [3] The architecture of complex weighted networks
    Barrat, A
    Barthélemy, M
    Pastor-Satorras, R
    Vespignani, A
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (11) : 3747 - 3752
  • [4] Bongiorno C., 2015, 11th USA/Europe ATM Research and Development Seminar, 23-25 June 2015, Lisbon, Portugal, P23
  • [5] Analysis of the Chinese air route network as a complex network
    Cai Kai-Quan
    Zhang Jun
    Du Wen-Bo
    Cao Xian-Bin
    [J]. CHINESE PHYSICS B, 2012, 21 (02)
  • [6] Campanelli B, 2014, P 4 SESAR INN DAYS M
  • [7] Emergence of network features from multiplexity
    Cardillo, Alessio
    Gomez-Gardenes, Jesus
    Zanin, Massimiliano
    Romance, Miguel
    Papo, David
    del Pozo, Francisco
    Boccaletti, Stefano
    [J]. SCIENTIFIC REPORTS, 2013, 3
  • [8] Modeling the multi-layer nature of the European Air Transport Network: Resilience and passengers re-scheduling under random failures
    Cardillo, Alessio
    Zanin, Massimiliano
    Gomez-Gardenes, Jesus
    Romance, Miguel
    Garcia del Amo, Alejandro J.
    Boccaletti, Stefano
    [J]. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2013, 215 (01) : 23 - 33
  • [9] A Hybrid Metaheuristic Optimization Algorithm for Strategic Planning of 4D Aircraft Trajectories at the Continental Scale
    Chaimatanan, Supatcha
    Delahaye, Daniel
    Mongeau, Marcel
    [J]. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2014, 9 (04) : 46 - 61
  • [10] Structural changes caused by error and attack tolerance in us airport network
    Chi, LP
    Cai, X
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2004, 18 (17-19): : 2394 - 2400