Demand-Capacity Balancing is one of strategic air traffic management methods that can be applied for safe and conflict-free operations. This paper proposes demand-capacity balancing algorithms specifically for application to Urban Air Mobility operations. NASA previously developed and simulated a demand-capacity balancing algorithm for urban air mobility operations that resolved predicted demand-capacity imbalances at vertiports by assigning pre-departure delays to aircraft. In contrast, the algorithms proposed in this paper resolve imbalances at enroute waypoints in addition to vertiports and make use of aircraft speed changes in addition to pre-departure delay as an imbalance resolution mechanism. These new algorithms are implemented in a new fast-time simulation tool that has been developed for NASA's urban air mobility airspace service development research. The implementation of these algorithms along with results of their simulations for a set of traffic scenarios is presented, followed by a discussion of insights derived and proposals for development of future demand-capacity balancing services for urban air mobility.


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    Title :

    Demand-Capacity Balancing Algorithms for Urban Air Mobility Operations


    Contributors:


    Publication date :

    2024-09-29


    Size :

    1592542 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English