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i have traffic volume data (surrey city, ca) like this the data are arterial traffic volume count from february 2013- 2014 in surrey

I wish to use Artificial neural network (Deep Learning) or ARIMA to predict traffic flow/volume of the urban area with the use of previous traffic count data. I want to know whether it is a good technique to predict traffic condition, I want to make the data 2013 as training set and the data 2014 as a testing, is it possible to do traffic flow/volume prediction in next time period if only use this dataset or we need other data to support it?

did i choose right method? or which method is suitable for this case i really appreciate if somebody could help me how to do that.. need guidance, i am new in neural network..

closed as off-topic by Mark Silverberg, philshem, Joe Germuska, Nicolas Raoul, magdmartin May 26 '15 at 19:07

This question appears to be off-topic. The users who voted to close gave this specific reason:

  • "This question does not appear to be about open data within the scope defined in the help center." – Mark Silverberg, philshem, Joe Germuska, Nicolas Raoul, magdmartin
If this question can be reworded to fit the rules in the help center, please edit the question.

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    This site is about data, not about how to use it for prediction. Your question sounds like Business Intelligence, which officially on-topic (even though not very active) on dba.stackexchange.com Other sites might fit better. If not, the last desperate option would be reddit.com/r/artificial – Nicolas Raoul May 25 '15 at 8:30