This project is beacon-based indoor localization system base at the computer science department of Dijon (IUT de Dijon, Université de Bourgogne).
STriDE means Spatio-temporal Trajectories in Dynamic Environment. STriDE is an ontology-based model and an infrastructure that allows to store user trajectories, to process analytics on the trajectories. The contribution of the STriDE methodology consists in grabbing the evolution of the building for further analytics.
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Muhammad Arslan, Christophe Cruz, Ana-Maria Roxin, Dominique Ginhac, Spatio-temporal Analysis of Trajectories for Safer Construction Sites, Journal of Smart and Sustainable Built Environment (SASBE), Emerald, 2018, (IF 0.63, 2016)
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Christophe Cruz, Semantic Trajectory Modeling for Dynamic Built Environments, Special Session on Environmental and Geo-spatial Data Analytics (EnGeoData 2017), The 4th IEEE International Conference on Data Science and Advanced Analytics, DSAA2017, 19-21 Oct, Tokyo, Japan, 2017
In the datasets repository, a set of trajectories and the OSM map (Open Street Map) can be found Google Map.
The "datasetMay18.csv" file is a set of student trajectories grabbed during March and May 2018. The dataset was anonymized.
The column is the following: UserID, Datatime, Building, Floor, Long, Lat