Pedestrian Flow Management Using WIFI Data Weijie Tan

Background Data collected from monitoring system is not only fragmented but also hard for analysis and storage. Judgement and management based on monitoring system are subjective. The effect of such management is unstable.

Introduction Probe: the device we use to get WIFI data Access point: the device providing WIFI

Results Color of lines show the travel time Density Map From original WIFI data, we get the status of pedestrian flow. Then we visualize it as several maps. Follows are two examples. Density Map Color of lines show the travel time

(2) Machine learning Maps Real World Situation

Summary Our research provides a clear and objective way to monitor pedestrian flow and identify the problem in it. It supplements the weakness of existing flow management system. The cost of pedestrian flow management based on WIFI Data is much lower than the cost of using video monitoring system in aspects of both device cost and labor cost.