The emergence of Urban Air Mobility (UAM) marks a new era of aviation that will be characterized by a shift in transportation dynamics marked by safe, efficient, and sustainable air travel within urban areas. Although UAM will provide significant advantages, increased air travel demand has the potential to impact air traffic controllers (ATCo) workload. Therefore, industry, government, and academia in the UAM ecosystem are actively working to overcome potential implementation challenges that include airspace integration and air traffic management. As part of this effort, researchers from the National Aeronautics and Space Administration (NASA) are studying the challenges associated with UAM operations’ interactions with air traffic control (ATC). The present research paper presents an analysis of subjective assessments to determine the usability and acceptability of airspace procedures under two different operating conditions – Initial and Mid-Term – and two different levels of UAM traffic. The completion of these investigations will be a steppingstone in supporting the successful implementation of UAM operations into the National Airspace System.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Subjective Assessment of Initial and Mid-Term UAM Operations and the Impact on Air Traffic Controllers' Workload


    Contributors:
    G. M. R. Torres (author) / S. Verma (author) / R. Ghatas (author) / R. Mogford (author) / M. Shyr (author)

    Publication date :

    2024


    Size :

    5 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Subjective Assessment of Initial and Mid-Term UAM Operations and the Impact on Air Traffic Controllers' Workload

    Rosado Torres, Gabriela M. / Verma, Savita / Ghatas, Rania et al. | IEEE | 2024


    Predictive Workload Model for Air Traffic Controllers During UAM Operations

    Shyr, Megan C. / Farrahi, Amir H. / Verma, Savvy | IEEE | 2024


    Predictive Workload Model for Air Traffic Controllers during UAM Operations

    M. C. Shyr / A. H. Farrahi / S. Verma | NTIS | 2024


    Predictive Workload Model for Air Traffic Controllers during UAM Operations

    M. C. Shyr / A. H. Farrahi / S. Verma | NTIS | 2024