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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Ding, Z., & Huang, G. (2009). Real-time traffic flow statistical analysis based on network-constrained moving object trajectories. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5690 LNCS, pp. 173–183). https://doi.org/10.1007/978-3-642-03573-9_14
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