Runway configuration Management (RCM) governs the optimal utilization of runways based on variables such as traffic and meteorological conditions, making it a daunting task in air traffic management due to its dependency on volatile operational and environmental factors. This paper improves upon our previous work [1] on using offline model-free reinforcement learning for creating a Runway Configuration Assistance (RCA) decision-support tool. A novel integration of forecast data from LAMP (Localized Aviation Model Output Statistics Program) and TAF (Terminal Area Forecast) is introduced, enhancing the tool’s accuracy and also its adaptability to quick wind changes. The performance is evaluated using two major US airports, Charlotte Douglas International Airport (CLT) and Denver International Airport (DEN). To counter scalability issues presented by the addition of discrete forecast variables, we transitioned to a continuous state space model, ensuring scalability and inclusion of longer forecast data. The results of our experiments reflect significant improvements in the RCA tool’s prediction accuracy.


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    Titel :

    Optimization of Airport Runway Configuration with Forecast-Augmented Offline Reinforcement Learning


    Beteiligte:
    Sumanth Nethi (Autor:in) / Milad Memarzadeh (Autor:in) / Krishna Kalyanam (Autor:in)

    Kongress:

    AIAA SciTech Forum and Exposition ; 2024 ; Orlando, FL, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    Optimization of Runway Configurations with Forecast-Augmented Offline Reinforcement Learning

    Nethi, Sumanth / Memarzadeh, Milad / Kalyanam, Krishnamoorthy | AIAA | 2024


    Airport Runway Configuration Management with Offline Model-Free Reinforcement Learning

    Memarzadeh, Milad / Puranik, Tejas G. / Kalyanam, Krishna M. et al. | AIAA | 2023


    Airport Runway Configuration Management with Offline Model-free Reinforcement Learning

    Milad Memarzadeh / Tejas Puranik / Krishna Kalyanam et al. | NTRS


    Airport Runway Configuration Management with Offline Model-free Reinforcement Learning

    Milad Memarzadeh / Tejas Puranik / Krishna Kalyanam et al. | NTRS


    Runway Configuration Management with Offline Reinforcement Learning

    Milad Memarzadeh / Tejas Puranik / Jarrett Battistini et al. | NTRS