A-CDM Lite: Situation Awareness and Decision- making for Small Airports based on ADS-B Data

Michael Schultz (1) , Judith Rosenow (2) , Xavier Olive (3)

1 Institute of Logistics and Aviation Technische Universität Dresden Dresden, Germany
2 Institute of Logistics and Aviation Technische Universität Dresden Dresden, Germany
3 DTIS, ONERA, Université de Toulouse [Toulouse]

The data-driven analysis of aircraft movement data from public available sources provides further insights into the complex airport operations, beyond the capabilities of analytical and model-based methods. In the context of airport collaborative decision making, these data-driven approaches will allow cost efficient implementations, which are a key enabler for an appropriate integration of small/medium sized airports into the air transportation network. We propose an operational milestone concept based on Automatic Dependent Surveillance-Broadcast messages emitted by approaching and departing aircraft. Since aircraft have to be equipped with a compliant transponder from 2020, airports only need cheap receivers to observe operations at the runway/taxiway system and at the apron (including parking positions). These observations will allow for a systematic monitoring (using operational milestones) and predictive analytics to provide estimated values for future system states. This contribution aims at providing a reliable basis to develop innovative approaches for small/medium airports, which are both beneficiary for the air transportation network and cost efficient for local operators. In this contribution, we process aircraft movements in the vicinity and on the ground of Gatwick airport and address our approach to provide an enhanced situational awareness. The reasons for using Gatwick airport are threefold: (a) good data coverage, (b) simple runway layout, and (c) basis for upcoming validation studies, since Gatwick already runs a full airport collaborative decision making implementation.

Mots clés: operational milestones; aircraft trajectory; ADS-B data; A-CDM concept; airport management

Domaines: Sciences de l'ingénieur [physics]; Physique [physics]

Michael Schultz, Judith Rosenow, Xavier Olive. A-CDM Lite: Situation Awareness and Decision- making for Small Airports based on ADS-B Data. 9th SESAR Innovation Days: Inspiring Long-Term Research in the Field of Air Traffic Management, SIDs 2019, Dec 2019, Athènes, Greece. ⟨hal-02623883⟩