Please use this identifier to cite or link to this item: https://doi.org/10.1109/TITS.2011.2174229
Title: Modified iterative-learning-control-based ramp metering strategies for freeway traffic control with iteration-dependent factors
Authors: Hou, Z.
Yan, J.
Xu, J.-X. 
Li, Z.
Keywords: ALINEA
freeway traffic control
iteration-dependent factors
iterative learning control (ILC)
ramp metering
simulations
Issue Date: 2012
Source: 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) : 606-618. ScholarBank@NUS Repository. https://doi.org/10.1109/TITS.2011.2174229
Abstract: 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. © 2011 IEEE.
Source Title: IEEE Transactions on Intelligent Transportation Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/56685
ISSN: 15249050
DOI: 10.1109/TITS.2011.2174229
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