## Which classification algorithm to choose for classifying driving patterns (GPS coordinates) and mapping them to drivers?

1

I have been given 6 data sets out of which 5 are training sets. The 5 data sets correspond to 5 drivers.

Each row of a data set consists of a time-stamp followed by a poly-line. The poly-line gives the GPS coordinates (latitude,longitude) of the driver taken every 15th second. So the length of this line gives the time duration of each trip. I have to classify the poly-lines corresponding to each time-stamp to one of these 5 drivers in the last (test) data set.

I need assistance in choosing a classification algorithm. I have only implemented Naive Bayes (text classification) before but I don't think it will work here. I'm having trouble visualizing the approach to solve this problem.

1Looks like you need to do a serious feature design first in order to be able to formulate this as a classification problem. – Diego – 2016-03-10T13:08:07.393