real-time traffic flow statistical analysis based on     network-constrained moving object trajectories

	real-time traffic flow statistical analysis based on network-constrained moving object trajectories
	Ding Zhiming; Huang Guangyan
	2009
Conference Name	20th International Conference on Database and Expert Systems Applications
Source	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Date	AUG 31-SEP
Conference Place	Linz, AUSTRIA
Publish Place	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Publisher	DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS
ISSN	0302-9743
ISBN	978-3-642-03572-2
Department	Ding, Zhiming Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China.
English 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.
Keyword	Database Spatiotemporal Moving Object Statistics
Sponsorship	DEXA Assoc, Austrian Comp Soc, Res Inst Appl Knowledge Proc, Johannes Kepler Univ Linz
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/8300
Collection	基础软件国家工程研究中心
Recommended Citation GB/T 7714	Ding Zhiming,Huang Guangyan. real-time traffic flow statistical analysis based on network-constrained moving object trajectories[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS,2009.

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