The idea of distributed planning and problem solving as a reliable and effective methodology for air traffic control is introduced. Some basic concepts and terminology of distributed planning are first discussed, then a novel coordinator-coworker structure is described; this is a control mechanism that can dynamically reorganise the planning system in response to the task at hand. The information structure supporting such a control mechanism is made up of hierarchically organised distributed scratch pads. It also provides the basis for 'self-repairing' when individual nodes fail to operate, and allows for a graceful degradation of the whole system. The problems of air traffic control are analysed and the kernel design of the airborne processors in a location-centered co-operative planning system is described. The simulation-based planning process and its timing and selection considerations are explained. Three different organisational structures are implemented. The distributed air traffic control testbed is then introduced, and performance measures of the three organisational structures are compared in it. Finally, the design and the results of a series of experiments performed are discussed.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Distributed artificial intelligence approach to air traffic control


    Additional title:

    Regelung des Luftverkehrs mit verteilter künstlicher Intelligenz


    Contributors:
    Findler, N.V. (author) / Lo, R. (author)


    Publication date :

    1991


    Size :

    10 Seiten, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Traffic control using artificial intelligence

    Simmerville,F. / Bright,J. / Castle Rock Consultants,GB | Automotive engineering | 1990


    Artificial Intelligence in Air Traffic Control

    Gosling, G. D. / United States / Federal Aviation Administration| United States et al. | British Library Conference Proceedings | 1993


    Artificial intelligence traffic flow control device

    WU QIANNAN | European Patent Office | 2021

    Free access

    Artificial intelligence techniques for urban traffic control

    Bielli, Maurizio / Ambrosino, Giorgio / Boero, Marco et al. | Elsevier | 1991


    Conflict resolution in railway traffic control by a distributed intelligence approach

    Mazzarello, M. / Copello, R. / Wessex Institute of Technology | British Library Conference Proceedings | 2000