Selection of commercially viable areas for taxi drivers using big data

Abstract

Surface transportation in urban cities is inevitable to move from one place to another place for carrying out regular activities. Taxis are assumed as one of the essential parts for transportation in New York. This paper focuses on the selection of the top profitable areas using New York City (NYC) taxi trips dataset. The data used in the current work is captured from the NYC taxi and analyzed using Hadoop Big Data to find the profitable locations for the taxi driver, so that they can increase their income by waiting in most profitable locations.