Machine Learning Algorithm in Two wheelers fuel Prediction

Abstract

In the present digitized world fleet management is done on the two wheelers by fixing the fuel with fixed laboratory condition. But in the real world, the mileage prediction will change based on various factors like the driving style of the driver, driving speed, road condition, traffic condition etc. So to have an effective fleet management a Machine learning multi feature regression is modeled to predict the distance to be travelled by the two wheelers with the available fuel. It is designed using the sensors placed on the two wheelers and the petrol tank, through which the values obtained through the sensors are applied on regression model to predict the mileage in real time with more accuracy.