Rideshare Transportation Fare Prediction using Deep Neural Networks

Abstract

The taxi service industry has been growing recently, and in the coming years, a strong increase is predicted. So many companies have developed to respond to this increased demand for cab rides. To maintain transparency and avoid unfair practices, the main goal is to predict travel costs before booking a taxi reservation. Our system is made to enable users to calculate the cost of a taxi trip by using a variety of dynamic factors, including the weather, the availability of cabs, cab size, and the distance between two sites. Here our system uses many algorithms to predict the fare amount but in all of them, the DNN algorithm works better than other algorithms.