A New Representation of Air Traffic Data Adapted to Complexity Assessment

التفاصيل البيبلوغرافية
العنوان: A New Representation of Air Traffic Data Adapted to Complexity Assessment
المؤلفون: Mykoniatis, Georges, Nicol, Florence, Puechmorel, Stéphane
المساهمون: Ecole Nationale de l'Aviation Civile (ENAC)
المصدر: ALLDATA 2018, The Fourth International Conference on Big Data, Small Data, Linked Data and Open Data ; https://enac.hal.science/hal-01799373 ; ALLDATA 2018, The Fourth International Conference on Big Data, Small Data, Linked Data and Open Data, Apr 2018, Athenes, Greece. pp. 28-33/ISBN: 978-1-61208-631-6
بيانات النشر: HAL CCSD
سنة النشر: 2018
المجموعة: ENAC: HAL (Ecole Nationale de l’Aviation Civile)
مصطلحات موضوعية: Air traffic complexity, spatial data, manifold valued images, covariance function estimation, non-parametric estimation, Riemannian manifold, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.AP]Statistics [stat]/Applications [stat.AP], [STAT.ME]Statistics [stat]/Methodology [stat.ME], [MATH]Mathematics [math]
جغرافية الموضوع: Athenes, Greece
الوصف: International audience ; Air traffic is generally characterized by simple indicators like the number of aircraft flying over a given area or the total distance flown during a time window. As an example, these values may be used for estimating a rough number of air traffic controllers needed in a given control center or for performing economic studies. However, this approach is not adapted to more complex situations such as those encountered in airspace comparison or air traffic controllers training. An innovative representation of the traffic data, relying on a sound theoretical framework, is introduced in this work. It will pave the way to a number of tools dedicated to traffic analysis. Based on an extraction of local covariance, a grid with values in the space of symmetric positive definite matrices is obtained. It can serve as a basis of comparison or be subject to filtering and selection to obtain a digest of a traffic situation suitable for efficient complexity assessment.
نوع الوثيقة: conference object
اللغة: English
Relation: hal-01799373; https://enac.hal.science/hal-01799373; https://enac.hal.science/hal-01799373/document; https://enac.hal.science/hal-01799373/file/main.pdf
الاتاحة: https://enac.hal.science/hal-01799373
https://enac.hal.science/hal-01799373/document
https://enac.hal.science/hal-01799373/file/main.pdf
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.6D0962B3
قاعدة البيانات: BASE