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A grid-based graph data model for pedestrian route analysis in a micro-spatial environment

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Abstract

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.

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Authors and Affiliations

  1. College of Urban and Environmental Science, Tianjin Normal University, Tianjin, 300387, China

    Yi-Quan Song, Long He & Rui Wang

  2. School of Surveying Engineering, Henan University of Urban Construction, Pingdingshan, 467036, China

    Lei Niu

Authors
  1. Yi-Quan Song
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  2. Lei Niu
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  3. Long He
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  4. Rui Wang
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Corresponding author

Correspondence to Yi-Quan Song.

Additional information

This work was supported by National Natural Science Foundation of China (Nos. 41571387, 41201375 and 41501440), Tianjin Research Program of Application Foundation and Advanced Technology (No. 14JCQNJC07900), Tianjin Science and Technology Planning Project (Nos. 15ZCZDSF00390 and 14TXGCCX00015), Opening Fund of Tianjin Engineering Research Center of Geospatial Information Technology “Modeling and analysis of path graph in 3D indoor spatial environment”.

Recommended by Former Associate Editor A. K. Verma

Yi-Quan Song received the Ph.D. degree in geographic information science (GIS) at Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China in 2011. He is now a lecturer in GIS at Tianjin Normal University, China.

His research interests include virtual geographic environments (VGE), Geosimulation, 3D GIS and Geo-visualization.

ORCID iD: 0000-0002-0215-9336

Lei Niu received the B. Sc. degree in GIS from Henan University, China in 2004. He received the Ph.D. degree in photogrammetry and remote sensing at Wuhan University, China in 2010. He finished Post- Doctoral research in Delft University of Technology, the Netherlands in 2013. He is now a lecturer in GIS at Henan University of Urban Construction, China.

His research interests include 3D GIS, indoor navigation, mobile GIS and emergency evacuation.

Long He received the B. Sc. degree in computer science and technology from Zhengzhou University, China in 2011. He is currently a master student in cartography and geographic information system at the Tianjin Normal University, China.

His research interests include map service and network of 3DGIS.

Rui Wang received the B. Sc. degree in geography information system from Shanxi Normal University, China in 2012. She is currently a master student at the Tianjin Normal University, China.

Her research interests include application and development of geographic information system and cartography.

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Song, YQ., Niu, L., He, L. et al. A grid-based graph data model for pedestrian route analysis in a micro-spatial environment. Int. J. Autom. Comput. 13, 296–304 (2016). https://doi.org/10.1007/s11633-016-0979-1

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  • DOI: https://doi.org/10.1007/s11633-016-0979-1

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