Rebalancing idle aircraft on the ground to other vertiports is essential for reducing passenger wait times at departure vertiports and minimizing the likelihood of airborne holding due to a lack of available pads and/or gates upon arrival. Rebalancing is also critical for efficient and safe Urban Air Mobility (UAM) operations. However, determining whether and when to rebalance can be challenging without real-time information on the status of arriving aircraft (e.g., estimated time of arrival), as improper rebalancing decisions can result in deadheads and congested vertiports. In that sense, rebalancing can be enriched with more up-to-date (or real-time) information, thus reducing airborne delays and mitigating potential adverse effects. In this context, this study proposes a rebalancing algorithm based on real-time prediction and updates of the estimated time of arrival (ETA). Experimental results show that airborne delays and variance of these are reduced with real-time updates on ETA compared to rebalancing without ETA updates (or using the ETA on the flight plan). Furthermore, real-time updates on ETA reduce the number of delayed flights and potentially unnecessary rebalancing (e.g., deadhead flights) by providing more accurate and up-to-date arrival times compared to rebalancing without ETA updates. Sensitivity analysis of the decision time for rebalancing is also conducted to validate the effectiveness of the proposed approach under various scenarios. The results of this study can contribute to tactical fleet management for on-demand UAM services by determining rebalancing based on real-time updates of flight information.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Urban Air Mobility Fleet Rebalancing with Real-Time Updates on Estimated Time of Arrival


    Contributors:
    Kang, Jungu (author) / Yoon, Seokbin (author) / Lee, Keumjin (author) / Kim, Sang Hyun (author)


    Publication date :

    2024-09-29


    Size :

    5339547 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    ESTIMATED ARRIVAL TIME NOTIFICATION DEVICE OF ELEVATOR

    KIM YONG MIN | European Patent Office | 2015

    Free access

    Accurate Estimated Time of Arrival Prediction Using Real-Time Path-Level Speed Computation

    Kim, Pooreumoe / Ham, Seung Woo / Park, Jungsoo et al. | IEEE | 2024


    ESTIMATED TIME OF ARRIVAL BASED ON HISTORY

    ZHU FAN | European Patent Office | 2021

    Free access

    Estimated time of arrival based on history

    ZHU FAN | European Patent Office | 2022

    Free access

    Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

    Rashvand, Narges / Hosseini, Sanaz Sadat / Azarbayjani, Mona et al. | ArXiv | 2023

    Free access