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In this paper, we propose a hierarchical model predictive control (MPC) approach for signal split optimization in large-scale urban road networks. To reduce the computational complexity, a large-scale urban road network is first divided into several subnetworks using a network decomposition method. Second, the MPC optimization problem of the large-scale(More)
It is generally recognized that Model Predictive Control (MPC) has many advantages in signal control of urban traffic networks. However, the computational complexity grows exponentially with the increase in network scale and predictive time horizon. In order to overcome this drawback, a signal split optimization approach is proposed in this paper, in which(More)
Arterial signal coordination based on a bandwidth criterion is one of the most effective and important signal coordination strategies for urban traffic signal control. In this paper, we propose a coordination methodology for arterial traffic signal control based on a novel two-way bandwidth maximization model. One of the important features of our method is(More)
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