In this thesis, a forecasting model is described that improves departure predictions over those of Collaborative Decision Making (CDM), reducing error by up to 30% for a given day. This model propagates delay from incoming flights to outgoing flights by using minimum turn times calculated from Airline Service Quality Performance (ASQP) data. The model was run on data covering every day of March, April, and May of 1999, and produced departure predictions 6 hours, 4 hours, 2 hours, and 1 hour in advance of departure time. The greatest improvement on CDM predictions was achieved in the 4-hour predictions.


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    Title :

    Improving aircraft departure time predictability



    Publication date :

    2000


    Size :

    88 pages


    Remarks:

    Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
    Includes bibliographical references (p. 88).


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    English






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