Title :
Parameter Identification of Freeway Traffic Flow Model and Adaptive Ramp Metering
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing liaotong Univ., Beijing, China
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;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.39
