Hello, I have GPX trails of vehicles/bikes of a particular city. Meaning, lat/lon, timestamp of bike trails from where a particular bike started and ended at different hours of the day. I have sets of these trails for different bikes roaming around the city.
I have seen anomaly detection video of NuPic and liked it. Now, I want to know if it is possible with NuPic to know: 1. Given new two random points A and B, how much time it takes to go from point A to point B in a particular range of hours of the day by using the GPX data I already have. Assume I have enough data for the city in terms of bike trails. 2. I do not want to use OSM data. But, if it is required, I am fine with using it. No google data please! Let me know if you need any more information. Sample data(not in XML format, but can be converted if needed): BikeID, Lat, Lon, timeStamp 1234,13.9845583,77.6052433,1431849998287 1234,13.9846133,77.6052366,1431850069237 1234,13.9846333,77.6051566,1431850102429 95,13.9845683,77.6050683,1431850138314 95,13.9845683,77.6050683,1431850172455
