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Sensors, Vol. 18, Pages 2100: A Data Model for Using OpenStreetMap to Integrate Indoor and Outdoor Route Planning

Sensors, Vol. 18, Pages 2100: A Data Model for Using OpenStreetMap to Integrate Indoor and Outdoor Route Planning

Sensors doi: 10.3390/s18072100

Authors: Zhiyong Wang Lei Niu

With a rapidly-growing volume of volunteered geographic information (VGI), there is an increasing trend towards using VGI to provide location-based services. In this study, we investigate using OpenStreetMap data to integrate indoor and outdoor route planning for pedestrians. To support indoor and outdoor route planning, in this paper, we focus on the connections inside buildings and propose a data model, which uses OSM primitives (nodes, ways and relations) and tags to capture horizontal and vertical indoor components, as well as the connection between indoor and outdoor environments. A set of new approaches is developed to support indoor modeling and mapping. Based on the proposed data model, we present a workflow that enables automatic generation of a routing graph and provide an algorithm to calculate integrated indoor-outdoor routes. We applied our data model to a set of test cases. The application results demonstrate the capability of our data model in modeling built environments and its feasibility for the integration of indoor and outdoor navigation.

Authors:   Wang, Zhiyong ; Niu, Lei
Journal:   Sensors
Volume:   18
edition:   7
Year:   2018
Pages:   2100
DOI:   10.3390/s18072100
Publication date:   30-Jun-2018
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