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Latest revision as of 20:34, 28 January 2021
Abstract
The problem of estimating the characteristics of the air traffic flow in the Terminal Area is considered. The estimated parameters can be used by the Traffic Flow Coordinators and Terminal Area Controllers to improve their response to varying air traffic flow. The approach is based on a queuing abstraction of the arrival and departure traffic routes in the Terminal Area. The routes are discretized as spatial servers for enforcing FAA-mandated separation requirements. Particle filtering methodology is employed for estimating the timevarying queuing parameters using radar track data. By considering the waypoint crossing times and airspeed as measurements, it is shown that it is feasible to estimate the time delay and its rate at various points along the arrival-departure routes. The proposed approach is illustrated using arrival radar track data in the San Francisco Metroplex. A graphic display of estimated parameters to serve as decision support tool for use by the Terminal Area traffic controllers is also illustrated.
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Published on 01/01/2013
Volume 2013, 2013
DOI: 10.2514/6.2013-4236
Licence: CC BY-NC-SA license
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