The objective of my final project at Metis from weeks 9 to 12, is to categorize drivers based on their behaviour on the roads - their driving style and the type of roads that they follow. The challenge associated with this objective is to identify uniquely a driver (and hence his proper "driving behaviour") based on the GPS log of a mobile phonelocated inside the car. My idea to solve this issue is to experiment Topic Modeling techniques especially Latent Semantic Indexing/Analysis (LSI/LSA) and Latent Dirichlet Allocation(LDA) and explain the observed trips by the unobserved behaviour of drivers. The following is an executive summary … you can also browse throught the ppt that I am presenting at Metis on the 7th of April 2015 during the Career Event, or check the Python code available on my blog: http://nasdag.org The raw data received for each trip is a csv file of (x,y) coordinates logged every one second.