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ASME Press Select Proceedings
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
49 Distributed Traffic State Estimation and Classification Using Consensus-Based Expectation Maximization Algorithm in Spatially Deployed Traffic Detectors
By
Amin Ramezani
,
Amin Ramezani
Control and Intelligent Processing Center of Excellency, CIPCE, Faculty of Electrical and Computer Engineering,
University of Tehran
, Tehran
, Iran
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Behzad Moshiri
Behzad Moshiri
Control and Intelligent Processing Center of Excellency, CIPCE, Faculty of Electrical and Computer Engineering,
University of Tehran
, Tehran
, Iran
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Page Count:
4
-
Published:2011
Citation
Ramezani, A, & Moshiri, B. "Distributed Traffic State Estimation and Classification Using Consensus-Based Expectation Maximization Algorithm in Spatially Deployed Traffic Detectors." International Conference on Mechanical Engineering and Technology (ICMET-London 2011). Ed. Lee, G. ASME Press, 2011.
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The present paper develops a Concensus-Based Decentralized expectation-Maximization (CB-DEM) algorithm to estimate the parameters of a mixture density model for use in distributed flow and speed modeling tasks performed with traffic data collected at spatially deployed traffic loop detector (traffic sensors) in a certain freeway network. This algorithm uses traffic measurements including volume, occupancy and mean speed which gathered by some inductive loop detectors. These traffic detectors (traffic sensors) located in certain distances in the freeway network such that they establish a Distributed Sensor Network (DSN). The convincing simulation results for a set field traffic data from the Metro Freeway...
Abstract
Keywords
Introduction
The Consensus-Based EM Algorithm
Implementation
Conclusion
References
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