1. How to detect which type of vehicle the Traveler is using for transportation i.e whether he is travelling on Two Wheeler or Car(Private Transpost) or Bus(Public Transportation)?
2. Do we have any Clustering algorithms in Data Mining which can Cluster the Vehicles Data into different clusters as 2 wheelers data, Bus Data etc.
Let us consider that all the vehicles data is available in a single data set then how to classify the data into different clusters as 2 wheeler, 4 wheeler, Bus etc.
What is the parameter which can be used to differentiate/classify them into different clusters.
Please tell me the clustering algorithms which can be used for this issue.
http://www.amazon.com/Constrained-Clustering-Algorithms-Applications-Knowledge/dp/1584889969
Regarding point 1: What kind of approach are you after? A technical one would be an accelerometer (can be found in almost every phone nowadays) -- if measurements are continuously taken during a ride by such a device, you will end up with very different profiles for each type of vehicle.
What kind of data you have? How this data was gathered?
If your data shows a travel time profile, you can filter public transport by location or time spent at public transport stops. Distinguishing 2 and 4 wheelers might depend on the area, you could use clues such as using a freeway (cyclists not allowed), using short cuts only for cyclists, travelling at speeds higher than cycle speed, passing traffic jams. For motorcycles you have to know local motorcycle behaviour (for example waiting in line or skipping it)
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