Abstract
In this paper, we propose a novel traffic flow analysis method, Network-constrained Moving Objects Database based Traffic Flow Statistical Analysis (NMOD-TFSA) model. By sampling and analyzing the spatial-temporal trajectories of network constrained moving objects, NMOD-TFSA can get the real-time traffic conditions of the transportation network. The experimental results show that, compared with the floating-car methods which are widely used in current traffic flow analyzing systems, NMOD-TFSA provides an improved performance in terms of communication costs and statistical accuracy.
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Ding, Z., Huang, G. (2009). Real-Time Traffic Flow Statistical Analysis Based on Network-Constrained Moving Object Trajectories. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2009. Lecture Notes in Computer Science, vol 5690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03573-9_14
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DOI: https://doi.org/10.1007/978-3-642-03573-9_14
Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-03573-9
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