2009 | OriginalPaper | Buchkapitel
Real-Time Traffic Flow Statistical Analysis Based on Network-Constrained Moving Object Trajectories
verfasst von : Zhiming Ding, Guangyan Huang
Erschienen in: Database and Expert Systems Applications
Verlag: Springer Berlin Heidelberg
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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.