DATS Workshop on Digital Air Traffic Services

6 May 2024

The 5th DATS Workshop on Digital Air Traffic Services: Workload and Safety Assessment took place on May 6-7, 2024, at Linköping University's Campus Norrköping in Sweden. The workshop provided an excellent platform for experts to discuss advancements in digital air traffic services, with a focus on workload and safety assessment. It also highlighted the importance of international collaboration in tackling challenges in aviation and mobility.

The event featured a keynote presentation by Max Li from the University of Michigan, USA, titled "Interface Design and Conversational Agents for Air Traffic Control and Air Traffic Management."

Our team contributed with the presentation "Moving Metrics: How to Evaluate Complex Traffic Scenarios," delivered by Prof. Schultz and Simon Göppel. The presentation explored innovative approaches to evaluating complex air traffic scenarios, offering insights into their impact on workload and safety in digital air traffic services.

Aktuelles

efficient management of arrival flows

Analysis of arrival management at Singapore Airport with a focus on long-haul flights

ATM research lab

Design and implementation of a collaborative lab environment for air traffic management

simulation environment for the airport apron

Development of a simulation environment for modeling operational concepts for automated apron operations

evaluation of controller workload via eye-tracking

Development and calibration of an eye-tracking system to determine the workload of air traffic controllers.

Mitigate air traffic complexity in moving sectors

Moving sectors enable flow-centric management with enhanced airspace capacity, as controller workload is dynamically allocated according to traffic conditions.

Research exchange with UTokyo

At the Tokyo Forum 2024, Prof. Schultz engaged with the President of The University of Tokyo, Prof. Teruo Fujii. Their discussions highlighted the pressing sustainability challenges facing aviation and the necessity of well-connected international research groups to address these global issues effectively.

Human-AI hybrids in safety-critical systems

This paper provides an extensive review of the emerging domain of Human-AI Hybrid in Air Traffic Management, defining and examining the fundamental pillars, including collaboration, adaptation, and trust.