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ITERATIVE LEARNING CONTROL BASED FREEWAY RAMP METERING WITH ITERATION-VARYING PARAMETER

In this work, a revised iterative learning control based ramp metering algorithm with compensation for the iteration-depended traffic free speed is proposed. This control method works well when free speed is iteration-varying, which is the most common situation for the freeway traffic system. With rigorous analysis, the proposed control scheme guarantees the asymptotic convergences along the iteration axis. In order to make the strategy practical, estimation methods of compensation coefficient are proposed as well. Intensive simulations show the effectiveness and superiority of the proposed strategy with iteration-varying free speed, as compared with the pure iterative learning control method.