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Abstract

This paper presents methods to quantify pedestrian traffic behavior. Video footage from a university building corridor was used to quantify pedestrian behavior. A coordinate conversion technique that maps images in the footage onto a real floor plan coordinate system was applied for image processing and data collection. This study has empirically examined pedestrians' preferred minimum distance to obstructions with respect to their changes in speed and trajectory. Subjective-observer rating of situation awareness (SA) was utilized to explain SA and related factors (speed and zone of comfort). Five elements of pedestrian SA are also discussed since they appear to be related to pedestrian navigation to achieve one's goal. The result of this study shows that speed of the pedestrian, zone of comfort, and SA score are closely related.

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Analyzing Pedestrian Traffic Behavior Using Video Footage,Zone of Comfort and Situation Awareness

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