This paper presents a first-order analysis of the control cost associated with a novel concept of operation for future air traffic. The concept of operation divides the airspace into autonomous flows and actively controlled flows. The paper models the effects of autonomy ratio and traffic volume on controller task load. A Monte Carlo simulator framework is used that allocates directly controlled routes and autonomous self-deconflicting four-dimensional trajectory flows in the airspace. Several stochastic models of aircraft scheduling, navigation precision, and conflict detection and resolution are interconnected in the simulation. Results show that autonomy can provide a buffer, preventing rapidly increasing task load with high traffic volumes. The projected increase in traffic volume still maintains feasible averages, but it poses a risk due to the rapidly growing variance that signals unpredictability. A Poisson process model is proposed for task load.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Comparison of Required Task Load in Simulated Autonomous and Controlled Airspace


    Contributors:

    Published in:

    Publication date :

    2014-08-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Flight Testing a UAV in Simulated Controlled Airspace

    Dixit, Atray / Falusi, Jaiye / Kim, Samuel et al. | AIAA | 2013



    Flight Testing a UAV in Simulated Controlled Airspace (AIAA 2013-4701)

    Dixit, A. / Falusi, J. / Kim, S. et al. | British Library Conference Proceedings | 2013



    Comparison of Task Load between Simulated Monotonous Driving Task and Highway Driving

    Ishibashi, M. / Ishida, K. / Okamoto, Y. | British Library Online Contents | 2000