The safe integration of modern unmanned aerial systems into the national airspace requires the ability to be able to confirm that the vehicles are working as planned. This means the availability of the vehicle and latency of the communication is critical. These requirements, along with a complex and multifaceted environment as well as the unmanned air traffic management framework, present a unique optimization problem. In this paper, we articulate our envisioned problem space and create a scaled-down version to test the functional feasibility of utilizing the vehicle to vehicle communication as a secondary communication assurance mechanism. We present our framework, experimental approach, and some lessons learned through the process.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Enhanced UAS Availability via Vehicle to Vehicle Routing Scaled Experiments


    Beteiligte:
    Nicholas B Cramer (Autor:in) / Chistopher Seruge (Autor:in) / Gordon Keller (Autor:in) / Richard Alena (Autor:in) / Shon R Grabbe (Autor:in) / Eleanor G. Rieffel (Autor:in)

    Kongress:

    AIAA Aviation Forum ; 2020 ; Virtual, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Enhanced UAS Availability via Vehicle to Vehicle Routing Scaled Experiments

    Cramer, Nick B. / Seruge, Christopher / Keller, Gordon et al. | AIAA | 2020


    ENHANCED UAS AVAILABILITY VIA VEHICLE TO VEHICLE ROUTING SCALED

    Cramer, Nick B. / Seruge, Christopher / Keller, Gordon et al. | TIBKAT | 2020


    Transit Demand and Routing after Autonomous Vehicle Availability

    S. Boyles / M. W. Levin / R. Patel et al. | NTIS | 2015


    Vehicle routing problem with time windows under availability constraints

    Dhahri, Amine / Zidi, Kamel / Ghedira, Khaled | IEEE | 2013


    Electric Vehicle-Drone Routing Problem with Optional Drone Availability

    Windras Mara, Setyo Tri / Sarker, Ruhul / Essam, Daryl et al. | IEEE | 2023