Please use this identifier to cite or link to this item: https://doi.org/10.1109/TITS.2011.2157969
Title: A complementary modularized ramp metering approach based on iterative learning control and ALINEA
Authors: Hou, Z.
Xu, X.
Yan, J.
Xu, J.-X. 
Xiong, G.
Keywords: ALINEA
iterative learning control (ILC)
ramp metering
traffic control
Issue Date: Dec-2011
Source: Hou, Z., Xu, X., Yan, J., Xu, J.-X., Xiong, G. (2011-12). A complementary modularized ramp metering approach based on iterative learning control and ALINEA. IEEE Transactions on Intelligent Transportation Systems 12 (4) : 1305-1318. ScholarBank@NUS Repository. https://doi.org/10.1109/TITS.2011.2157969
Abstract: Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulating the original ramp metering problem as an output regulating and disturbance rejection problem, ILC has been applied to control the traffic response. The learning mechanism is further combined with Asservissement Linéaire d'Entrée Autoroutire (ALINEA) in a complementary manner to achieve the desired control performance. The ILC-based ramp metering strategy and the modified modularized ramp metering approach based on ILC and ALINEA in the presence of input constraints are also analyzed to highlight the advantages and the robustness of the proposed methods. Extensive simulations are given 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/10635/81850
ISSN: 15249050
DOI: 10.1109/TITS.2011.2157969
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