Using mobile sensing technology for capturing people mobility information

Abstract

The detection and analysis of human crowds have been widely used from urban design and traffic management to disaster evacuation and mobility prediction. Currently, several common methods of crowd flow detection have different performances in terms of accuracy, cost and scope of application. One of the main reasons for the difference is that the technology or equipment used to detect crowd flows are different. For example, focus on accuracy, use the camera to record in real-time, and analyze the flow of people with the relevant algorithms. Or pay more attention to the scope of application, using the GPS information uploaded by the user when using the map service to obtain the direction and speed information of the crowd. In this paper, we propose a client-server system based on Bluetooth scanning to obtain crowd information. Our proposed system has the advantages of low cost and location flexibility. The system can detect any area without pre-deployed, as long as there is a sufficient number of users involved.