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

Ding, Zhiming and Huang, Guangyan 2009, Real-time traffic flow statistical analysis based on network-constrained moving object trajectories, in DEXA 2009 : Database and expert systems applications : 20th International Conference, DEXA 2009 Linz, Austria, August 31 September 4, 2009 Proceedings, Springer, Berlin, Germany, pp. 173-183, doi: 10.1007/978-3-642-03573-9_14.

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Title Real-time traffic flow statistical analysis based on network-constrained moving object trajectories
Author(s) Ding, Zhiming
Huang, Guangyan
Conference name Database and Expert Systems Applications. Conference (20th : 2009 : Linz, Austria)
Conference location Linz, Austria
Conference dates 31 Aug.-04 Sep. 2009
Title of proceedings DEXA 2009 : Database and expert systems applications : 20th International Conference, DEXA 2009 Linz, Austria, August 31 September 4, 2009 Proceedings
Editor(s) Bhowmick, Sourav S.
Kung, Josef
Wagner, Roland
Publication date 2009
Series Lecture Notes in Computer Science 5690
Start page 173
End page 183
Total pages 11
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) database
spatiotemporal
moving object
statistics
Summary 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.
ISBN 9783642035722
3642035728
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-642-03573-9_14
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2009, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083686

Document type: Conference Paper
Collection: School of Information Technology
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