Advanced Air Mobility (AAM) envisions multiple classes of uncrewed aircraft systems (UAS) performing a wide variety of tasks ranging from package delivery to infrastructure inspections. The scale and complexity of future AAM operations require new frameworks for UAS traffic management (UTM), with autonomous and federated air traffic management (ATM) services governing different regions of the AAM airspace. Current UTM solutions are often centralized, and assume that one entity optimizes UAS trajectories and schedules. However, current AAM concepts-of-operations depict competing UAS service suppliers (USS) in charge of ATM services for their own airspace region. We propose a distributed optimization-based approach to UTM, wherein each individual region solves a local traffic flow management problem, and communicates with other regions when necessary. To do so, we design a heuristic that enables distributed UAS traffic flow management, requiring no centralized coordination. We implement this heuristic and test it on a synthetic set of UAS trajectories, operating in an airspace divided into multiple regions. We show that, at a cost of increased delays relative to the centralized solution, our heuristic obtains a feasible solution, even though no singular region has access to trajectory information of other regions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Distributed Traffic Flow Management for Uncrewed Aircraft Systems


    Contributors:


    Publication date :

    2022-10-08


    Size :

    955043 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Distributed Vision Sensing of Small Uncrewed Aircraft Systems in Urban Traffic Corridors

    Dolph, Chester / Katragadda, Dasarath / Lombaerts, Thomas et al. | AIAA | 2025


    CHARGING STATION FOR UNCREWED AIRCRAFT

    AKAGAWA MITSURU | European Patent Office | 2025

    Free access

    Go with the Flow: Estimating Wind Using Uncrewed Aircraft

    Marc D. Compere / Kevin A. Adkins / Avinash Muthu Krishnan | DOAJ | 2023

    Free access

    SELF-POSITION ESTIMATION SYSTEM AND METHOD FOR UNCREWED AIRCRAFT, UNCREWED AIRCRAFT, PROGRAM, AND RECORDING MEDIUM

    WOJTARA TYTUS / TEDJAWIRJA VINCENT THEODORUS / BERGSTROM NIKLAS et al. | European Patent Office | 2022

    Free access

    Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems

    Sharma, Prashin / Kraske, Benjamin / Kim, Joseph et al. | AIAA | 2024