Enhancement in realism of ATC simulations by improving aircraft behaviour models

Abstract

This paper addresses the challenge to provide realistic aircraft behaviours in air traffic control simulations. Many simulation environments lack actual information on aircraft, airline or airspacespecific operational procedures: they resort to generic procedures to navigate the simulated aircraft, which may result in unsatisfying aircraft behaviours. A methodology has been developed by EURO-CONTROL to improve the aircraft behaviour model in its large-scale and real-time air traffic management simulation system, by identifying specific aircraft operation parameters from historical radar data. The simulator has been adapted to take these aircraft operation parameters into account, and the methodology was applied and tested during the last two simulations which took place at the EUROCONTROL Experimental Centre in 2010. The results of using operationally-tuned parameters during those simulations demonstrate that the analysis of flight recordings can bring valuable information about numerous flight behaviour parameters, and that the use of detailed flight behaviour models based on the parameters identified from the recordings can improve the accuracy of aircraft modeling enough that air traffic controllers liken the simulated traffic to a real traffic.

Parameterized Flight Mission for Secondary Power Requirement Estimations of Commercial Transport Aircraft

“…configuration and masses), official regulations and environmental conditions (e.g. atmosphere) 7 . Therefore, two representing baseline aircraft and a parameterized mission with typical altitude and speed profile are defined.…”

“…American Institute of Aeronautics and AstronauticsAccording to Gillet et al7 , three phases of acceleration are made during Initial Climb, where the speed V 2 increases by 10 kt, 30 kt and 60 kt (CAS). The next acceleration is attempted after reaching 10000 ft.…”

Machine learning model for aircraft performances

“…BADA also provides a generic aircraft behavior model called AiRline Procedure Model (ARPM), which focuses on how the aircraft is operated [9]. During climbs and descents the energy share factor defines how much of the available power is allocated to vertical evolution as opposed to acceleration.…”

Machine learning model for aircraft performances

“…Gillet, Nuic and Mouillet [9] are using radar recordings to get realistic data to fine tune ARPM. Different energy share factors and speed profiles have been calculated according to airline operator, operating airport, aircraft type, flight phase and flight range with the help of statistical processing.…”