This chapter aims to explore methods and procedures for route planning in urban air space for Advanced Air MobilityAdvanced air mobility (AAM) operations using a 3D GIS environment. Route planning for urban air space through data analytics is produced to support planners in decision-making by visualizing the key influential factors in a 3D urban environment. Having defined two use cases for the City of Atlanta, different data types are needed to account for those factors and are introduced and tested. The use case for the Atlanta Aerotropolis has represented the need to plan a short-distance inner-city AAMAdvanced air mobility network to serve as a public transportationPublic transportation network. In contrast, the other use case is a remote terminal shuttle service for the Atlanta airport. Recommendations on validating and optimizing the AAM networks are made at the end of this chapter.


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    Titel :

    Urban Airspace Route Planning for Advanced Air Mobility Operations


    Weitere Titelangaben:

    The Urban Book Series


    Beteiligte:
    Goodspeed, Robert (Herausgeber:in) / Sengupta, Raja (Herausgeber:in) / Kyttä, Marketta (Herausgeber:in) / Pettit, Christopher (Herausgeber:in) / Wang, Xi (Autor:in) / Yang, Perry Pei-Ju (Autor:in) / Balchanos, Michael (Autor:in) / Mavris, Dimitri (Autor:in)

    Kongress:

    International Conference on Computers in Urban Planning and Urban Management ; 2023 ; Montreal, QC, Canada June 20, 2023 - June 22, 2023


    Erschienen in:

    Intelligence for Future Cities ; Kapitel : 11 ; 193-211


    Erscheinungsdatum :

    02.06.2023


    Format / Umfang :

    19 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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