Urban Air Mobility (UAM) is believed to enhance the competitiveness of public transport. However, a UAM service has not been yet implemented, therefore, a possible network load (the number of passengers sharing the airspace) is not known. We designed a UAM network in Munich and its surrounding areas and created a base scenario with a UAM service being a part of the public transportation system. We simulated one day of commuter travelling in the PTV-Visum planning software. We estimated the average of 633 passenger trips per each UAM link. Additionally, we created 2 sets of modifications, which included fare and comfort parameters. Introducing UAM had a positive impact on the Bavarian network. Our results suggested that the cost of the UAM service has a significant influence on the passenger volumes.


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    Titel :

    Estimating UAM Network Load with Traffic Data for Munich


    Beteiligte:


    Erscheinungsdatum :

    11.10.2020


    Format / Umfang :

    5552806 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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