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Highly Automated Air Traffic Controller Workstations with Artificial Intelligence Integration

HAAWAII

Highly Automated Air Traffic Controller Workstations with Artificial Intelligence Integration

Call for proposal: 
H2020-SESAR-2019-2
Link to CORDIS:
Objectives: 

Advanced automation support developed in Wave 1 of SESAR IR includes using of automatic speech recognition (ASR) to reduce the amount of manual data inputs by air-traffic controllers. Evaluation of controllers’ feedback has been subdued due to the limited recognition performance of the commercial of the shell ASR engines that were used, even in laboratory conditions. The reasons for the unsatisfactory conclusions include e.g. inability to distinguish controllers’ accents, deviations from standard phraseology and limited real-time recognition performance. Past exploratory research funded project MALORCA, however, has shown (on restricted use-cases) that satisfactory performance can be reached with novel data-driven machine learning approaches.

Based on the results of MALORCA HAAWAII project aims to research and develop a reliable, error resilient and adaptable solution to automatically transcribe voice commands issued by both air-traffic controllers and pilots. The project will build on very large collection of data, organized with a minimum expert effort to develop a new set of models for complex environments of Icelandic en-route and London TMA.

HAAWAII aims to perform proof-of-concept trials in challenging environments, i.e. to be directly connected with real-life data from ops room. As pilot read-back error detection is the main application, HAAWAII aims to significantly enhance the validity of the speech recognition models.

The proposed work goes far beyond the work planned for the Wave 2 IR programme and will improve both safety and reduce controllers’ workload. The digitization of controller and pilot voice utterances can be used for a wide variety of safety and performance related benefits including, but not limiting to pre-fill entries into electronic flight strips and CPDLC messages. Another application demonstrated during proof-of-concept will be to objectively estimate controllers’ workload utilising digitized voice recordings of the complex London TMA.

Institution Type:
Institution Name: 
European Commission
Type of funding:
Programme Other: 
SESAR-ER4-18-2019 Automation and CWP
Lead Organisation: 

Deutsches Zentrum Fr Luft Und Raumfahrt E.v

Address: 
Linder Hoehe
51147 KOELN
Germany
EU Contribution: 
€520,000
Partner Organisations: 

Austro Control Osterreichische Gesellschaft Fur Zivilluftfahrt Mbh

Address: 
WAGRAMER STRASSE 19
1220 WIEN
Austria
EU Contribution: 
€100,000

Isavia Ans Ehf

Address: 
REYKJAVIKURFLUGVELLI 102
102 REYKJAVIK
Iceland
EU Contribution: 
€260,000

Croatia Control, Croatian Air Navigation Services Ltd

Address: 
RUDOLFA FIZIRA 2
10410 VELIKA GORICA
Croatia
EU Contribution: 
€25,000

Vysoke Uceni Technicke V Brne

Address: 
Antoninska 548/1
60190 Brno
Czech Republic
EU Contribution: 
€300,000

Nats

Address: 
4000 Parkway, whiteley 4000
Fareham, Hampshire
PO157FL
United Kingdom
EU Contribution: 
€260,000

Fondation De L'institut De Recherche Idiap

Address: 
RUE MARCONI 19
1920 MARTIGNY
Switzerland
EU Contribution: 
€360,000
Technologies: 
Development phase: