When the aircraft is taxing in the taxiway, it is necessary to predict the conflict among aircraft to avoid the conflict. According to the practical condition of the airport taxiway traffic, a time bucket-based prediction calculation method is presented, taking the distance between aircraft as the conflict prediction standard. When the probability of conflict is taken as standard, it is assumed that the actural position of aircraft follows two-dimension normal distribution, the conflict probability between two aircraft at any given time is calculated. The results show that the time bucket-based prediction taxing conflict calculation method can solve the contradiction between the optimization and real-time performance of aircraft route planning.


    Access

    Download


    Export, share and cite



    Title :

    Taxi Conflict Prediction Algorithm Based on Time Bucket and Probability Distribution


    Contributors:
    HOU Panpan (author) / WANG Zixu (author)


    Publication date :

    2020




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution

    Patole, Deepti / Mehta, Raj / Mehta, Chintan et al. | Springer Verlag | 2021




    Flight taxi-out time prediction based on deep learning

    He, Yujian / Hu, Minghua / Yuan, Ligang et al. | SPIE | 2022


    Flight taxi-out time prediction based on deep learning

    He, Yujian / Hu, Minghua / Yuan, Ligang et al. | British Library Conference Proceedings | 2022