Abstract: To solve the problems of the surge and detention in urban passenger flow and traffic congestion caused by the increase in tourist population, this paper proposed a method for extracting tourist characteristics based on mobile signaling data, accurately identifying the travel trajectory of tourists, analyzing and mining the characteristics and changing laws of tourist flow. Based on the above method, the Badaling Great Wall was used as a case for calculation, identification and analysis to obtain the temporal and spatial characteristics of tourists in the tourist attractions. It can complete long-term, multi-range tourist flow identification and travel law mining with sufficient data support, and provide scientific data support for prediction and emergency protection. Finally, it also can provide decision-making support for the tourism, traffic management departments and tourists, and improve the service level of tourism traffic.