Many airspace threats affect the selection of a flight route, such as terrain, physical obstacles, adverse weather, and special-use airspace, among others. Threat avoidance during Urban Air Mobility (UAM) and Low Altitude Mobility (LAM) flights is especially challenging due to their lower cruising altitudes. These operations may be exposed to buildings, towers, trees, terrain undulations, etc., along much of their flight route. Moreover, these low-altitude flights in urban environments are expected to encounter very busy airspace, increasing the workload associated with threat avoidance. The Proximity to Threat (PtT) function aims to support onboard or remote pilots by computing the risk from geospatial threats in the airspace along an aircraft’s flight path. The threats are both static entities and dynamic airspace restrictions that have been modeled and stored in geo-referenced mapping databases. The flight path may be specified by waypoints, airways, or similar discrete route elements or by a time series of closely spaced position and altitude points. Flight path uncertainty can also be taken into account by assuming both the position and altitude to be sampled from two normal distributions, each being specified by a mean and variance. PtT uses this additional information to verify that the flight path remains clear of threats along a wider path or if a position is reached earlier or later than anticipated, assuring the pilot or operator that there will be an available safety margin even if the aircraft deviates due to one or more occurrences of unexpected wind gusts, mechanical failures, airspeed changes, collision avoidance maneuvers, etc. The client can specify an uncertainty confidence level to bound the set of trajectories evaluated for threats so that the confidence level corresponds to the client’s risk tolerance under the expected conditions. PtT can be used as a pre-flight planning tool to determine a safe route through known threats and in-flight to avoid emerging or changing threats. In this report, we present the PtT function, discuss how the trajectory uncertainty is incorporated into the PtT function, and describe the use of this PtT function in a representative scenario.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Computing Proximity to Threat Along Uncertain Trajectory to Support Urban Air Mobility


    Beteiligte:
    L. Spirkovska (Autor:in) / I. Roychoudhury (Autor:in) / C. C. Quach (Autor:in)

    Erscheinungsdatum :

    2024


    Format / Umfang :

    20 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Computing Proximity to Threat Along Uncertain Trajectory to Support Urban Air Mobility

    Lilly Spirkovska / Indranil Roychoudhury / Cuong C Quach | NTRS | 2024



    Urban Air Mobility Trajectory Planning

    Exadaktylos, Stylianos / Vitale, Christian / Kolios, Panayiotis et al. | IEEE | 2023


    Online collision avoidance trajectory planning for spacecraft proximity operations with uncertain obstacle

    Zhang, Run-de / Cai, Wei-wei / Yang, Le-ping et al. | SAGE Publications | 2022


    Airborne Trajectory Management for Urban Air Mobility

    Cotton, William / Wing, David J. | NTRS | 2018