My issue is really simple: I need to compute a seasonal arima model on traffic data (5 min frequency). The data exhibits daily seasonality (288 observations).
This is causing me issues in computing the model using R. (SO question: https://stackoverflow.com/questions/30804281/r-arima-method-blocks-when-adding-seasonality)
I know that seasonal arima models are not particulary suited for long seasonality periods, however I read tons of articles regarding traffic forecasting that exploits them in order to make predictions.
I will appreciate any suggestion regarding software tools (in addition to R) that would do the trick. Thank you.