Collision Risk Models (CRM) are used by regulatory safety agencies to determine the safe separation minima and monitor the air-to-air collision risk level of an airspace. CRMs estimate the expected number of aircraft collisions and "total" risk for a given Air Traffic concept-of-operation (e.g. parallel approaches). The fidelity of the models, and assumptions used in the models, are determined by the required confidence interval required for the safety analysis, the capabilities of current analytical and simulation methods, availability of empirical data sets, and the capabilities of computational resources.This paper provides an overview of the state-of-the-art for CRMs for Terminal Area operations. Opportunities to apply recently developed AI/ML, and data analytics methods such as analytical and rare-event simulation methods, availability of empirical data sets, and leverage available computational resources are identified.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Air-to-Air Collision Risk Models (CRM) in the Terminal Airspace


    Contributors:


    Publication date :

    2023-04-18


    Size :

    1104305 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Airspace Encounter Models for Estimating Collision Risk

    Kochenderfer, Mykel J. / Edwards, Matthew W. M. / Espindle, Leo P. et al. | AIAA | 2010



    Modeling Airspace Collision Risk

    Knecht, W. R. / Hancock, P. | British Library Conference Proceedings | 1997



    Collision risk analysis for alternate airspace architectures

    Shortle, John / Noh, Seungwon / Sherry, Lance | IEEE | 2017