Combining Kohonen Maps with Arima Time Series Models to Forecast Traffic Flow

@inproceedings{MASCHAVAN1996CombiningKM,
  title={Combining Kohonen Maps with Arima Time Series Models to Forecast Traffic Flow},
  author={MASCHAVAN and DERVOORT and Mark Dougherty and Susan Watson},
  year={1996}
}
A hybrid method of short-term traffic forecasting is introduced; the KARIMA method. The technique uses a Kohonen self-organizing map as an initial classifier; each class has an individually tuned ARIMA model associated with it. Using a Kohonen map which is hexagonal in layout eases the problem of defining the classes. The explicit separation of the tasks of classification and functional approximation greatly improves forecasting performance compared to either a single ARIMA model or a… CONTINUE READING