This presentation introduces a ridesharing model useful for examining the role of ridesharing in advancing Urban Air Mobility (UAM) operations. Although the success of UAM will likely require a host of new technologies in aircraft design, airspace management, autonomy, and more, operational innovations like ridesharing may also be key, especially to lower operating costs and attract a broader market. The ridesharing algorithm introduced, termed the Passenger Aggregation Network with Very Efficient Listing (PANVEL) model, estimates trip numbers and passenger occupancy aboard particular aircraft within a UAM network in a metropolitan area. This algorithm is applied within a transportation computational framework to determine the impact of ridesharing on mode choice, passenger travel patterns, and transportation costs. The algorithm aggregates passengers traveling between identical origin-destination pairs, factoring in individual-specific metrics, such as value of time and alternative mode options, to generate high load factors on UAM aircraft. The computational framework simulates passenger mode-choice selections using an effective-cost approach to determine the number of ridesharing UAM-preferred trips, and results with ridesharing are representative of a rough upper bound on UAM ridership potential for a given metro area. A case study in the Cleveland metro area is presented to demonstrate the algorithm and assess ridesharing potential.


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    Titel :

    Passenger Aggregation Network with Very Efficient Listing (PANVEL) Ridesharing Model for Urban Air Mobility


    Beteiligte:
    S. D. Biswas (Autor:in) / A. Edsel (Autor:in) / R. Gadre (Autor:in) / M. Kilbourne (Autor:in) / S. Vashi (Autor:in) / K. Mall (Autor:in) / D. A. DeLaurentis (Autor:in) / W. A. Crossley (Autor:in) / M. Patterson (Autor:in)

    Erscheinungsdatum :

    2024


    Format / Umfang :

    23 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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