Abstract
Nowadays, the increasing development of positioning and wireless communication technologies favors a better real-time integration and manipulation of large spatial databases. This offers many new opportunities for the development of trajectory databases, but a number of research challenges are still open as the generated information is often unstructured, continuous, large and sometimes unpredictable. The research presented in this paper develops a modeling approach that integrates the semantic, spatial and temporal dimensions when representing spatial trajectories at the abstract and logical levels. A data manipulation language that supports the querying and analysis of large trajectory databases is also proposed. The spatial database model is based on algebraic data types, and a prototype is developed on top of the DBMS PostgreSQL/PostGIS. The whole approach and the prototype development have been experimented and applied to benchmark transportation data derived from an origin-destination survey in the region of Quebec in Canada.
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Zheni, D., Frihida, A., Claramunt, C., Ben Ghezala, H. (2015). A Semantic-Based Data Model for the Manipulation of Trajectories: Application to Urban Transportation. In: Gensel, J., Tomko, M. (eds) Web and Wireless Geographical Information Systems. W2GIS 2015. Lecture Notes in Computer Science(), vol 9080. Springer, Cham. https://doi.org/10.1007/978-3-319-18251-3_8
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DOI: https://doi.org/10.1007/978-3-319-18251-3_8
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