Affiliations: Department of Surveying and Geomatics Engineering, College of
Engineering, University of Tehran, Tehran, Iran | Center of Exellence in Geomatic Engineering in Disaster
Management, Department of Serveying and Geomatic Engineering, College of Engineering,
University of Tehran, Tehran, Iran | Department of Geomatic Science, Laval University,
Québec, QC, Canada | Department of GIS, Faculty of Geodesy and Geomatic
Engineering, K.N. Toosi University of Technology, Tehran, Iran
Note: [] Corresponding author: Mahmoud Reza Delavar, Center of Exellence
in Geomatic Engineering in Disaster Management, Department of Serveying and Geomatic
Engineering, College of Engineering, University of Tehran, Tehran, Iran. Tel.: +98
2161114257; +98 912; E-mail: [email protected]
Abstract: Space and time are two dominant factors in context-aware pervasive
systems which determine whether an entity is related to the moving user or not.
This paper specifically addresses the use of spatio-temporal relations for
detecting spatio-temporally relevant contexts to the user. The main
contribution of this work is that the proposed model is sensitive to the
velocity and direction of the user and applies customized Multi Interval
Algebra (MIA) with Voronoi Continuous Range Query (VCRQ) to introduce
spatio-temporally relevant contexts according to their arrangement in space. In
this implementation the Spatio-Temporal Relevancy Model for Context-Aware
Systems (STRMCAS) helps the tourist to find his/her preferred areas that are
spatio-temporally relevant. The experimental results in a scenario of tourist
navigation are evaluated with respect to the accuracy of the model, performance
time and satisfaction of users in 30 iterations of the algorithm. The
evaluation process demonstrated the efficiency of the model in real-world
applications.
Keywords: Context-awareness, spatio-temporal relevancy, customization, multi interval algebra, range query, tourist
