A PEDESTRIAN ACCESSIBLE POSITION EXTRACTION METHOD OF EXISTING 3D FILES FOR LARGE BUILDING EVACUATIONS

Abstract. As the emergency evacuation research in large building area draws more attention than ever before, it is natural to fast acquire the navigation information for this purpose. Current solution for extracting human accessible area from existing data files consumes a significant amount of resource and time. Thus a better solution is required. We propose a semi-automatic plan, which introduces a conceptual model to extract and organize the accessible data of large building. This solution utilizes several spatial algorithms to extract detail traversing information from existing 3D building files and introduce spatial relationships to manage the extracted data.