Outlier Detection and Missing Value Estimation in Time Series Traffic Count Data: Final Report of SERC Project GR/G23180.

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Tight, M.R.; Redfern, E.J.; Watson, S.M.; Clark, S.D.;
  • Publisher: Institute of Transport Studies, University of Leeds

A serious problem in analysing traffic count data is what to do when missing or extreme values occur, perhaps as a result of a breakdown in automatic counting equipment. The objectives of this current work were to attempt to look at ways of solving this problem by: \ud ... View more
  • References (2)

    REDFERN, E.J., WATSON, S.M., CLARK, S.D., TIGHT, M.R. and PAYNE, G.A. (1993b) Modelling outliers and missing values in traffic count data using the ARIMA model. ITS Working Paper 395, University of Leeds (in preparation).

    TSAY, R.S. (1988) Outliers, level shifts and variance changes in time series. Forecasting, Vol 7, 1-20.

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