Model-Free Adaptive Control Of Multiple Intersections

This paper solves the signal timing problem of multiple intersections. First of all, it illuminates traditional timing theories and methods of multiple intersections, and then analyses their existing problems. Due to the fixed cycle time and the fixed split, the expected effect of fixed timing control couldn't be achieved when the traffic changed rapidly. Then actuated control method is raised in timing process with exposed disadvantages of fixed timing control. Although actuated control can use vehicle arriving information, the performance of the whole intersection is ignored in the timing process. There are mainly two issues existing in signal timing for multiple intersections:fixed timing plan can't adjust with the changing traffic flow, the other is modeling difficulty for multiple intersections. The main works are as follows:Firstly, Model-Free Adaptive Control method and the idea of equilibrium queue length are applied in the signal timing solution of multiple intersections. MFAC algorithm can adjust green time with traffic fluctuation, and the mathematical model is not necessary for the controller design. The actual method used in signal timing for multiple intersections is decentralized estimating control method based on MFAC, which considers the influence between intersections to be a measurable disturbance. It can largely simplify signal timing problem of multiple intersections through making complicated multiple interactions issue transform to the controller design of the single interaction separately.Secondly, we use the microcosmic traffic simulation software Paramics to show different effects of the proposed algorithm. The contrast of simulation results will be given about fixed timing method, green wave control and decentralized estimating control algorithm based on MFAC. Additionally, dynamic link library technology in visual C++is essential for the algorithms accessed to Paramics environment.