Scaling Machine Learning to Recommend Driving Routes

We built an app to predict potential earnings of a driver given his current location for next 8 hours in successive time intervals. The App also provided recommendations of next best pickup locations ranked based on driver preferences and behavior. Potential earning per recommended locations is predicted for several time interval such as next 15 minutes, 30 minutes, one hour, two hours and four hours. These options further helped in learning driver behaviour which is feedback to create more relevant recommendations. Our main aim was to maximize the revenue of the taxi services company by maximizing earnings per driver.