Abstract
Storing and managing the large scale moving objects data is one of the research hotspots and difficulties in data mining, trajectory analyzing, location-based services and many other applications. To solve these problems, firstly we design the trajectory point representing model, the trajectory representing model, the moving object data storage model and their relationships based on object-oriented ideology; then we construct a moving objects database using in PostGIS according to the presented models; finally we test the effectiveness of the moving object database with real data. The experimental results show that using the method presented in this paper to store large scale moving objects data can reduce the storage space obviously, meanwhile, it can increase the spatial and temporal querying efficiency effectively.
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Sheng, K., Li, Z., Zhou, D. (2017). A Storage Method for Large Scale Moving Objects Based on PostGIS. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-319-38789-5_69
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DOI: https://doi.org/10.1007/978-3-319-38789-5_69
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Online ISBN: 978-3-319-38789-5
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