Abstract
This paper introduces the concept of Moving Object (MO) modelling as a means of managing the uncertainty in the location tracking of human moving objects travelling on a network. For previous movements of the MOs, the uncertainty stems from the discrete nature of location tracking systems, where gaps are created among the location reports. Future locations of MOs are, by definition, uncertain. The objective is to maximize the estimation accuracy while minimizing the operating costs.
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Abdelsalam, W., Chiu, D., Chau, SC., Ebrahim, Y., Ahmed, M. (2011). Moving Object Modelling Approach for Lowering Uncertainty in Location Tracking Systems. In: Butz, C., Lingras, P. (eds) Advances in Artificial Intelligence. Canadian AI 2011. Lecture Notes in Computer Science(), vol 6657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21043-3_3
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DOI: https://doi.org/10.1007/978-3-642-21043-3_3
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