DocumentCode
3059732
Title
Parameter Identification of Freeway Traffic Flow Model and Adaptive Ramp Metering
Author
Yan, Jingwen
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing liaotong Univ., Beijing, China
Volume
2
fYear
2009
fDate
22-24 May 2009
Firstpage
235
Lastpage
238
Abstract
In this work, a modified recursive least squares parameter estimation method is used to identify the parameters of the freeway traffic flow model online. Based on the parameters identified online, adaptive control strategy is introduced to deal with the ramp metering problem. Intensive simulations show the effectiveness of the identification method and the adaptive ramp metering based on the parameters identified works well.
Keywords
adaptive control; least squares approximations; parameter estimation; road traffic; adaptive control strategy; adaptive ramp metering; freeway traffic flow model; modified recursive least squares parameter estimation method; parameter identification; Adaptive control; Cities and towns; Control systems; Electronic commerce; Information security; Least squares approximation; Monitoring; Parameter estimation; Supply and demand; Traffic control; adaptive ramp metering; freeway traffic flow model; parameter identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3643-9
Type
conf
DOI
10.1109/ISECS.2009.39
Filename
5209910
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