Work

Design of a Real-Time Visual Analytics Decision Support Interface to Manage Air Traffic Complexity

Year: 2024

Type: conference-paper

Abstract: An essential task of an air traffic controller is to manage the traffic flow by predicting future trajectories. Complex traffic patterns are difficult to predict and manage and impose cognitive load on the air traffic controllers. In this work we present an interactive visual analytics interface which facilitates detection and resolution of complex traffic patterns for air traffic controllers. The interface supports air traffic controllers in detecting complex clusters of aircraft and further enables them to visualize and simultaneously compare how different re-routing strategies for each individual aircraft yield reduction of complexity in the entire sector for the next hour. The development of the concepts was supported by the domain-specific feedback we received from six fully licensed and operational air traffic controllers in an iterative design process over a period of 14 months.

Source: IEEE Visualization and Visual Analytics (VIS)

DOI: 10.1109/vis55277.2024.00068

Authors: Elmira Zohrevandi, Katerina Vrotsou, Carl A. L. Westin, Jonas Lundberg, Anders Ynnerman

Institution: Linköping University

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Trafikverket

Awards: Visualization of complex situations to strengthen human-automation collaboration in real-time systems, G3411752198, G5862222103