Adaptive Optimal Iterative Learning Control for Local Ramp Metering

In this work, a novel adaptive optimal iterative learning control algorithm (AOILC) is applied to address the traffic density control via ramp metering in a macroscopic level freeway environment. The traffic density control problem is formulated into an output tracking problem and the initial traffic density is variable with iteration change. Rigorous analyses and intensive simulations show the effectiveness of the algorithm.