Utilizing Video Footage for the Analysis of Pedestrian Behavior

This paper presents an analysis of pedestrian traffic performance from an empirical study. Video footage from a university building corridor was used to quantify pedestrian behavior for inclusion in a pedestrian simulation model. A coordinate conversion technique that maps images in the footage onto a real-world coordinate system was used for data collection. Pedestrian characteristics such as average speed, density, and flow rate were measured to examine traffic performance. The impact of gender and group size on pedestrian speed, as well as trajectory change and spacing, were tested and reviewed to verify the influence of environment on pedestrian behavior.