Real-Time Traffic Flow Statistical Analysis Based on Network-Constrained Moving Object Trajectories

Authors:
Zhiming Ding;Guangyan Huang
Affiliations:
Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China 100190;School of Engineering & Science, Victoria University, Melbourne, Australia
Venue:
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Year:
2009

Citing 5
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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.