Aviation is broadly a combination of aircraft, airspace and airports. The data science life cycle comprises of five steps - capture, maintain, process, analyze and communicate. The presentation introduces the legacy of conventional aviation research in the context of the data science life cycle to motivate the challenges with Urban Air Mobility, a field that is quite nascent. A summary of recent research will be presented to highlight the innovative ways to address the challenges. Examples provided will include the generation of synthetic data, encounter models from simulations, and leveraging novel and diverse data sets from traditional transportation and non-aviation sources, to analyze problems of operation in urban airspace. Finally, opportunities will be identified for further exploration, niche development and filling the gaps in the field of data science for UAM.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Data Science and Urban Air Mobility: Challenges and Opportunities


    Beteiligte:

    Kongress:

    Aviation Data Science Seminar Series ; 2020 ; Moffett Field, CA, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch





    Data Science Challenges for Urban Air Mobility

    Vishwanath Bulusu | NTRS | 2020


    Velomobiles and Urban Mobility: Opportunities and Challenges

    Rose, Geoffrey / Liang, Alex | Springer Verlag | 2021

    Freier Zugriff


    Urban Air Mobility—Challenges and Opportunities for Air Taxis

    Rowedder, Carsten | Springer Verlag | 2019

    Freier Zugriff