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A Data Model for Using OpenStreetMap to Integrate Indoor and Outdoor Route Planning
1GIScience Research Group, Institute of Geography, Heidelberg University, Im Neuenheimer Feld 368, 69120 Heidelberg, Germany. zhiyong.wang@uni-heidelberg.de.
Sensors (Basel, Switzerland)
|July 4, 2018
Summary
This study introduces a new data model for integrating indoor and outdoor pedestrian navigation using OpenStreetMap data. The developed approach enables automatic routing graph generation for seamless indoor-outdoor route planning.
Area of Science:
- Geographic Information Systems (GIS)
- Spatial Data Modeling
- Indoor Navigation
Background:
- Growing volume of volunteered geographic information (VGI) necessitates advanced location-based services.
- Existing systems often lack integrated indoor and outdoor pedestrian routing capabilities.
Purpose of the Study:
- To develop a data model for integrating indoor and outdoor pedestrian route planning using OpenStreetMap (OSM) data.
- To create a workflow for automatic routing graph generation and integrated route calculation.
Main Methods:
- Proposed a data model using OSM primitives (nodes, ways, relations) and tags to capture indoor components and connections.
- Developed new approaches for indoor modeling and mapping.
- Implemented a workflow for automatic routing graph generation and an algorithm for indoor-outdoor route calculation.
Main Results:
- Demonstrated the capability of the data model in representing complex built environments.
- Validated the feasibility of the proposed methods for integrated indoor-outdoor navigation.
- Successfully applied the data model to test cases, enabling seamless pedestrian routing.
Conclusions:
- The proposed data model effectively integrates indoor and outdoor environments for pedestrian navigation.
- The developed workflow and algorithms provide a feasible solution for real-world indoor-outdoor routing applications.
- This research contributes to enhancing location-based services by leveraging VGI for comprehensive navigation.
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