PECOUNT-I was developed for Aggregated stations, with long data records, and which are typically permanent stations. Hourly traffic time series have long-range dependence, thus, an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model was adopted.
For long-term data records, our approach uses an Autoregressive Fractional Integrated Moving Average (AFRIMA) technique (Olatayo and Adedotun, 2014) to extend hourly traffic counts at permanent stations; the model is entitled PECOUNT-I. This is the highest level model that feeds information and prediction to the downstream stations with medium range data
Overall structure of PECOUNT-I
This project was supported by The City of Toronto's Transportation Services Division and Atmospheric Fund
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Updated on Feb 28, 2019