Modeling for control of traffic signal systems

This paper proposes two kinds of modeling methods for real-time and network-wide traffic signal control. The one is a modeling method based on the conventional store-and-forward modeling approach and the least squares method. This method can give a state-space model from practical data of simulation without calculating it from ideal traffic parameters. Therefore, this method is more practical for complex traffic situations. The other is a method based on system identification, which not only can give a more practical model but also can relax restriction on controllability of traffic signal systems. As a result, this method extends the applicable range of traffic signal control. The simulation examples are provided to show the effectiveness of the proposed methods