Design of a Real-Time Visual Analytics Decision Support Interface to Manage Air Traffic Complexity
Elmira Zohrevandi - Linköping University, Norrköping, Sweden. Linköping University, Norrköping, Sweden
Katerina Vrotsou - Linköping University, Norrköping, Sweden. Linköping University, Norrköping, Sweden
Carl A. L. Westin - Institute of Science and Technology, Norrköping, Sweden. Institute of Science and Technology, Norrköping, Sweden
Jonas Lundberg - Linköping University, Norrköping, Sweden. Linköping University, Norrköping, Sweden
Anders Ynnerman - Linköping University, Norrköping, Sweden. Linköping University, Norrköping, Sweden
Room: Palma Ceia I
2024-10-16T13:12:00ZGMT-0600Change your timezone on the schedule page
2024-10-16T13:12:00Z
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Keywords
Visual analytics, Visualization design, Safety-critical systems
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.