Modified iterative-learning-control-based ramp metering strategies for freeway traffic control with iteration-dependent fctors
Affiliation
Beijing Jiaotong University, Beijing, ChinaIssue Date
2012Subjects
equationsfeedback control
traffic control
ALINEA
freeway traffic control
iteration-dependent factors
iterative learning control (ILC)
iterative learning control
ramp metering
simulations
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Show full item recordAbstract
For a freeway traffic system with strict repeatable pattern, iterative learning control (ILC) has been successfully applied to local ramp metering for a macroscopic freeway environment by formulating the original ramp metering problem as an output tracking, disturbance rejection, and error compensation problem. In this paper, we address the freeway traffic ramp-metering system under a nonstrict repeatable pattern. ILC-based ramp metering and ILC add-on to ALINEA strategies are modified to deal with the presence of iteration-dependent parameters, iteration-dependent desired trajectory, and input constraints. Theoretical analysis and extensive simulations are used to verify the effectiveness of the proposed approaches.Citation
Hou, Z., Yan, J., Xu, J.-X., Li, Z. (2012) 'Modified Iterative-Learning-Control-Based Ramp Metering Strategies for Freeway Traffic Control With Iteration-Dependent Factors', IEEE Transactions on Intelligent Transportation Systems 13 (2):606-618Type
ArticleLanguage
enISSN
1524-90501558-0016
ae974a485f413a2113503eed53cd6c53
10.1109/TITS.2011.2174229
Scopus Count
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