Abstract
An iterative learning control scheme is developed to the traffic density control in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligent control scheme guarantees the asymptotic convergence of the traffic density to the desired one. The control scheme is applied to a freeway model, and simulation results confirm the efficacy of the proposed approach.
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This work was supported by the National Science Foundation of China(No.60474038).
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Hou, Z., Xu, J. Iterative learning control approach for ramp metering. J. Control Theory Appl. 3, 27–34 (2005). https://doi.org/10.1007/s11768-005-0057-7
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DOI: https://doi.org/10.1007/s11768-005-0057-7