Abstract
In this paper, the numerical solution method of an on-ramp traffic control problem is discussed from the viewpoint of the application of evolutionary computation. The problem is formulated as a discrete-time nonlinear optimal control problem. The optimal control problem is then transferred to an optimization problem with successive constraints. A parallel-adaptive genetic algorithm is proposed to obtain the numerical solution of the problem. A real-time practical control method is also proposed. Numerical simulations for assessing the performance of the proposed methods are performed using observed data of Hanshin Expressway. As a result, the proposed method obtains the solution at comparatively small generations. This means shortening the calculation time, and is useful for the real-time control. Moreover, it is shown that the proposed real-time control is effective to reduce heavy congestion on the expressway.
