This paper introduces a Community Benchmark Problem (CBP) for Intelligent Contingency Management (ICM) for Urban Air Mobility (UAM) aircraft. The CBP aims to provide a common framework for measuring and comparing the progress of autonomy solutions for UAM aircraft in handling emergency situations. The paper proposes a methodology for defining and quantifying five measures of complexity that capture the challenges and requirements of ICM for UAM: Mission, Environmental, Autonomy, Decision-Making, and Mission Fault. In addition, it proposes a methodology for defining and quantifying mission risk acceptability with the same goals: Contingency Management, Mission Success, Operational, Mission Redefinition, and Environmental. We describe how to use these measures to track progress of the development of ICM capability, as well as to create scenarios and evaluate the performance of different autonomy solutions.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Benchmark Problem for Autonomous Urban Air Mobility



    Conference:

    2024 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum) ; 2024 ; Orlando, FL, US


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Benchmark Problem for Autonomous Urban Air Mobility

    Campbell, Newton H. / Gregory, Irene M. / Acheson, Michael J. et al. | AIAA | 2024


    Benchmark Framework for Autonomous Shuttle Concepts for Future Urban Passenger Transportation

    Engelhard, Mirko / Nase, Alexander / Rodenstock, Christoph et al. | TIBKAT | 2020


    Air autonomous vehicle benchmark

    Dunham, Darin T. / Donnie Smith, L. / Ogle, Terry L. et al. | IEEE | 2015


    A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios

    Jiang, Yuxuan / Zhan, Guojian / Lan, Zhiqian et al. | IEEE | 2024


    Volkswagen XL1 — Future Mobility Benchmark

    Mahendra, Arpit | Springer Verlag | 2013