Abstract: In recent years, the research based on mobile phone signaling data which contains time and space information to solve various types of traffic problems is becoming a hot spot. In this paper, a technical scheme combining Spark with MongoDB is proposed to process the mobile phone signaling data, and to generate the traffic trajectories of mobile users, and then the traffic flow between urban areas is analyzed. Taking the Haidian Administrative District and Sanlitun Commercial District in Beijing as examples, the paper analyzes the attractiveness and occurrence of inter-regional traffic flow, and finally uses the JavaScript library provided by OpenLayers to visualize the research results.

Key words: cell phone signaling data, traffic flows, visualization