Efficiently Predicting Taxi Future Location based on Square Error Estimation

The future locations of taxis can reflect both human activities and urban dynamics in a city. Existing approaches to predict taxi future location are inefficient due to their high complexity. In this paper, we propose an efficient method the proposed method reduces the average computation time by 5.7%, while retaining almost the same prediction accuracy.