Signal Control of Urban Traffic Network Based on Multi-Agent Architecture and Fireworks Algorithm

Abstract

The application of multi-agent technology in urban traffic network control makes the traffic signal control has ability of adaptive adjustment. With the changing of traffic flow in the road, it can adjust the important parameters such as the offset, green ratio and public cycle of signal lights in real time, which can effectively reduce traffic congestion and improve the vehicle capacity of the urban traffic network. In this paper, a three level multi-agent control framework is used. The objective functions are the optimization model of green ratio delay, public cycle and offset delay. Fireworks algorithm is used to solve the modeling optimization problem. The simulation results show that the adaptive traffic network signal control can significantly reduce the total delay time of the traffic network and improve the road utilization rate with the continuous change of traffic flow. Compared with the traditional traffic signal timing control, the adaptive traffic network signal control has great advantages and overcomes the disadvantages of traditional traffic signal control. At the same time, the fireworks algorithm shows significant performance in solving the optimizing model of the traffic network.