Abstract
To track network-matched trajectories of moving objects is important in a lot of applications such as trajectory-based traffic-flow analysis and trajectory data mining. However, current network-based location tracking methods for moving objects need digital maps installed at the moving object side, which is not realistic in a lot of circumstances. In this paper, we propose a new moving objects database framework, Euclidean-batch-sampling and Network-matched-trajectory based Moving Objects Database (EuNetMOD) model, to support network-matched trajectory tracking without digital maps installed at the moving object side.
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Ding, Z., Deng, K. (2011). Collecting and Managing Network-Matched Trajectories of Moving Objects in Databases. In: Hameurlain, A., Liddle, S.W., Schewe, KD., Zhou, X. (eds) Database and Expert Systems Applications. DEXA 2011. Lecture Notes in Computer Science, vol 6860. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23088-2_19
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DOI: https://doi.org/10.1007/978-3-642-23088-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23087-5
Online ISBN: 978-3-642-23088-2
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