Modified iterative-learning-control-based ramp metering strategies for freeway traffic control with iteration-dependent fctors
AffiliationBeijing Jiaotong University, Beijing, China
freeway traffic control
iterative learning control (ILC)
iterative learning control
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AbstractFor 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.
CitationHou, 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):606-618
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