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A Grid-based Graph Data Model for Pedestrian Route Analysis in a micro-spatial environment

International Journal of Automation and computing 2016年第3期13卷 296-304页

作者： Yi-Quan Song Lei Niu Long He Rui Wang College of Urban and environmental Science Tianjin Normal University School of Surveying Engineering Henan University of Urban Construction

Due to limitations in geometric representation and semantic description, the current pedestrian route analysis models are inadequate. To express the geometry of geographic entities in a micro-spatial environment accurately, the concept of a grid is presented, and grid-based methods for modeling geospatial objects are described. The semantic constitution of a building environment and the methods for modeling rooms, corridors, and staircases with grid objects are described. Based on the topology relationship between grid objects, a grid-based graph for a building environment is presented, and the corresponding route algorithm for pedestrians is proposed. The main advantages of the graph model proposed in this paper are as follows： 1） consideration of both semantic and geometric information, 2） consideration of the need for accurate geometric representation of the micro-spatial environment and the efficiency of pedestrian route analysis, 3） applicability of the graph model to route analysis in both static and dynamic environments, and 4） ability of the multi-hierarchical route analysis to integrate the multiple levels of pedestrian decision characteristics, from the high to the low, to determine the optimal path.

关键词： Graph data model route analysis pedestrian micro-spatim environment building.

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