Real-Time Analysis and Prediction System for Rail Transit Passenger Flow Based on Deep Learning

With the rapid development of urban rail transit,rail transit plays an important role in alleviating city congestion.In recent years,with increasing pas-sengerflow,there has been huge pressure on passengerflow management.To address this problem,we propose a novel system to provide real-time statistics and predictions of passengerflow based on big data technology and deep learning technology.Moreover,the passengerflow is visualized efficiently in this system.It can provide refined passengerflow information so that people can make more rational decisions in terms of operation and planning,deploy contingency plans to avoid emergency situations,and integrate passengerflow analysis with train production,scheduling and operation to achieve cost reduction and efficiency enhancement.