TRAVEL TIME ESTIMATION FOR TAXI TRIPS USING GPS SEQUENCE
With many companies providing taxi services on a click, request and dispatch of taxi has become easier and accessible to a wide range of people. Predicting travel time of a given taxi trip plays important role in many decision making problems that are important from both the service time and economics perspective of this business. In this problem, we aim at using machine learning techniques to predict trip travel times based on the characteristics of the trip. We use the taxi trip data provided by Kaggle to train and test the data. We discuss our approach based on KNN regression using GPS data available as part of trip trajectories.
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