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UTM City-Visualization of Unmanned Aerial Vehicles.

Jimmy Johansson Westberg, Karljohan Lundin Palmerius, Jonas Lundberg

    IEEE Computer Graphics and Applications
    |October 4, 2022
    PubMed
    Summary

    We developed UTM City, a digital platform for visualizing and managing autonomous urban vehicle traffic. This research explores visualization needs for safe and efficient future airspace management.

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    Area of Science:

    • Computer Science
    • Aerospace Engineering
    • Urban Planning

    Background:

    • Autonomous urban vehicles require advanced traffic management systems.
    • Developing regulations and standards for drone services like transport and surveillance is ongoing.
    • Visualization is crucial for monitoring and managing airborne drone traffic.

    Purpose of the Study:

    • To present UTM City, a digital platform for researching autonomous urban vehicle traffic.
    • To explore the role of visualization in managing and monitoring drone traffic.
    • To identify future visualization needs for safe and efficient airspace.

    Main Methods:

    • Development of the UTM City digital platform in collaboration with domain experts.
    • Incorporation of expert-provided scenarios and workshop feedback.
    • Exploration of visualization techniques for airborne traffic management.

    Main Results:

    • A functional digital platform, UTM City, for autonomous urban vehicle traffic research.
    • Insights into the practical application of visualization in drone traffic management.
    • Identification of key visualization requirements for future airspace scenarios.

    Conclusions:

    • UTM City serves as a valuable tool for research in autonomous urban traffic.
    • Visualization is essential for ensuring safe, free, and efficient airspaces.
    • Continued research and development in visualization are needed for advanced airspace management.