Aircraft trajectory prediction in North Atlantic Oceanic Airspace by Wind Networking

Olga Rodionova 1 Daniel Delahaye 1 Mohammed Sbihi 1 Marcel Mongeau 1
1 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
Abstract : The North Atlantic oceanic airspace (NAT) joins two highly populated continents - North America and Europe. Air traffic in NAT mainly contributes to two major flows: the westbound flow departing from Europe in the morning, and the eastbound flow departing from North America in the evening. Each of these flows consists of more than 500 aircraft daily. Aircraft within NAT experience strong winds caused by the Jet Streams (JSs). JSs are fast narrow air currents mainly located in the upper troposphere and generally moving in eastern direction. The JS speed is typically 100 kts (nautical miles per hour) but can reach 200 kts. Thus, the eastbound flights would try to exploit the JS in order to benefit from strong tailwinds, while the westbound flights would avoid the JS in order to minimize head-wind. As a result, the NAT is highly congested at peak hours. Standard radar-based surveillance is not available for most part of NAT. To perform the Air Traffic Control and assure the en-route aircraft separation, the Organized Track System (OTS) was established in NAT. The OTS consists of several quasi-parallel tracks each of which represents a sequence of great circles joining successive significant waypoints (WPs). In vertical direction each track consists of several flight levels. The longitudinal (in-track) separation in NAT is assessed in terms of differences in actual and estimated times of arrival at common WPs; and expressed in clock minutes. Current regulations impose large separation minima for aircraft on OTS.
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Communication dans un congrès
DASC 2014, 33rd Digital Avionics Systems Conference, Oct 2014, Colorado Springs, United States. 2014
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Olga Rodionova, Daniel Delahaye, Mohammed Sbihi, Marcel Mongeau. Aircraft trajectory prediction in North Atlantic Oceanic Airspace by Wind Networking. DASC 2014, 33rd Digital Avionics Systems Conference, Oct 2014, Colorado Springs, United States. 2014. 〈hal-00996689〉

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