Intelligent Pedestrian Flow Monitoring Systems in Shopping Areas

The prerequisites of human behavior and performance research need innovative methods for the collection of human factors data. Data generated from experimental investigations of human performance in pedestrian situations have some instinctive drawbacks such as the obvious deviation from the natural pedestrian behaviors. Real-time pedestrian dynamic data obtained from on-site pedestrian flow monitoring system will help us record the genuine pedestrian situations by instruments and analyze the flow parameters such as velocity, density and flow rate. This project will help us develop a pedestrian flow prediction and risk management system (hardware and software) that may apply to many other shopping districts.