An easy example for Data analysis & user portrait for Internet of Vehicles
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
README.md
data.csv
main code.R

README.md

Data-analysis-user-portrait-for-Internet-of-Vehicles

An easy example for Data analysis & user portrait for Internet of Vehicles

This is a simplified version of driver portrait. Based on data of every test car, including Mileage, Driving time(h), Speed, Stv of speed, Maxium of speed, Stationarity, rotating speed, Maxium of rotating speed, Morning and evening peak, Travel late at night, Extremely congested, Highest speed and Fatigue driving index, using PCA and K-means clustering methods, patterns can be found, and driver portraits can be graphed.

For example:Based on the cluster results, we can make portraits of these drivers. E.g. Driver A often drive on rush hour, fast speed and short distance(on highways into the city, then he could be a commuter. Then we can easily push targeted kind warnings on the App.