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Based on the digital hormone model, this paper established a new distributed coordination control scheme for traffic signals, which adopts some hormonal information. The experiments with a traffic network of 8 junctions shows that this new control method is obviously superior to the timing control, sensing control and real-time control.
Distributed model predictive control (DMPC) advocates the distribution of sensing and decision making to operate large, geographically distributed systems such as the power grid and traffic networks. This paper presents a distributed optimization framework for DMPC of linear dynamic networks with constraints on each network node. A linear dynamic network can be thought of as a directed graph, whose...
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