4D-CARMA Auswertung der Realzeit-Simulationen zur Trajektorien-basierten Anweisungsgenerierung
Muth, Kathleen (2008) 4D-CARMA Auswertung der Realzeit-Simulationen zur Trajektorien-basierten Anweisungsgenerierung. DLR-Interner Bericht. DLR-IB 112-2008/18, 45 S.
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Results of simulation trials performed by DFS und FRAPORT AG with Dual Threshold Operations (DTO) have shown that an increase of 3-5 inbounds per hour is possible depending on heavy-medium mix. However, the controller workload increases and the outbound capacity decreases. Our simula-tions should show that it is possible to increase efficiency and predictability as well and how to avoid the significant decrease of outbound capacity. We introduce our Time-based Arrival Management supported by an advanced AMAN (4D-CARMA) and a (semi-) automatic Arrival-Departure-Coordination by ADCO, which creates Arrival Free Intervals (AFI) for departures. Our parameter space contains the following parameters: validation with or without ARR/DEP coordina-tor and the level of decision support provided by an advanced AMAN (none / with timeline / with advi-sories). We compare validation trials depending on one parameter only. Trial-03, Trial-05 and Trial-07 show the influence of decision support level if the departures are not considered. Trial-04, Trial-06-EX and Trial-09 show the influence of decision support level if the depar-tures are considered. Trial-06 and Trial-10 show the influence of decision support level if the depar-tures are not considered and the percentage of heavy arrivals is high (40%). Trial-10 and Trial-11 show the influence of automatic arrival-departure coordination by ADCO. Trial-07, Trial-08 and Trial-09 show the influence of departure demand. The following simplifications were performed in the simulation: no wind, no weather impacts, no spe-cific operations and no holdings. The following objective data are measured: Time of touch down and used landing threshold of each aircraft, flight path length and duration of each arrival flight, separation to next succeeding aircraft, number of departures that could be launched and departure queuing time at runway. The result is that the inter arrival error can be reduced by decision support tools, if departures are not considered and the percentage of heavy arrivals is low (20%). A further result is that the touchdown predictability increases with a higher level of decision support if the departures are not considered and the percentage of heavy arrivals is high (40%). Moreover, automatic arrival-departure-coordination and a high level of decision support cause a reduction of the departure queuing time. When DTO run under mixed mode conditions an automatic arrival-departure-coordination is useful, since efficiency and predictability of departure operations can be raised substantially whilst impact on arrivals is less. DTO can be performed more efficient with advanced AMAN and ADCO. The benefits, however, occur more on ground than on approach side.
|Document Type:||Monograph (DLR-Interner Bericht)|
|Additional Information:||Farbausdruck sinnvoll|
|Title:||4D-CARMA Auswertung der Realzeit-Simulationen zur Trajektorien-basierten Anweisungsgenerierung|
|Number of Pages:||45|
|Keywords:||4D-CARMA, AMAN, ADCO, DTO, 4D-CARMA, AMAN, ADCO, DTO|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Aeronautics|
|HGF - Program Themes:||L SF - Safe and Efficient Air Traffic Guidance|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L SF - Safe and Efficient Air Traffic Guidance|
|DLR - Research theme (Project):||L - Effiziente Flugführung und Flugbetrieb (old)|
|Institutes and Institutions:||Institute of Flight Control > Controller Assistance|
|Deposited By:||Kerstin Diederich|
|Deposited On:||15 Aug 2008|
|Last Modified:||27 Apr 2009 15:03|
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