Proposed Advance Taxi Recommender System Based On a Spatiotemporal Factor Analysis Model

Nowadays, Taxi industry is growing very rapidly .Everyone uses taxies for long or short distance journey instead of travelling by own car. In this paper, an online recommendation model is presented to help the driver to decide about the best stand to head in each moment, minimizing the waiting time. The proposed approach uses time series advance techniques to predict the solution of real-time problem faced by taxi driver every day. We combine some information with the live current network status to produce our output. Also we are implementing taxi management system based on GPS which has become an important tool for efficient taxi business. It can be used not only for the sake of management, but also to provide useful information for taxi drivers to earn more profit by mining the historical GPS trajectories. In this paper, we propose a taxi recommender system for next cruising location which could be a value added module of the management system.