Abstract This paper considers the problem of constructing a dynamic time series model for local fluctuations in traffic parameters from observations collected during periods when the rate of traffic flow is not constant application of linear high-pass filters to serially correlated data obtained through a measurement queue is considered in both the time and frequency domains. For the filtered series, a general autoregressive moving average model is postulated to describe the local fluctuations. Throughout the paper, an eight-hour sample of air traffic in the local control sector at New York's LaGuardia Airport serves as a case study for the techniques described.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Time series analysis of local fluctuations in traffic parameters


    Contributors:

    Publication date :

    1976-03-22


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Time-Series Analysis of Supersonic Base-Pressure Fluctuations

    Jonathan Janssen / J. Dutton | AIAA | 2004


    Time-Series Analysis of Supersonic Base-Pressure Fluctuations

    Janssen, Jonathan / Dutton, J. | AIAA | 2003


    Traffic Parameters Prediction Method Based on Rolling Time Series

    Jiang, Gui Yan ;Kong, Cui Liu | Trans Tech Publications | 2013


    Interval prediction for traffic time series using local linear predictor

    Hongyu Sun, / Chunming Zhang, / Bin Ran, | IEEE | 2004