A multiagent system for combining green wave and adaptive control in a dynamic way

The problem of traffic congestion is a serious problem in urban life causing social disorders such as delays, economic losses and environmental pollution. In this work, we propose an organizational architecture of agents to operate in urban traffic control along an arterial road. The BDI architecture is used to model the cognitive part of the agents that make up the organization. An adaptive green wave protocol is created to the coherent functioning of the organization. The protocol aims to combine green wave and local adaptation in a dynamic way on the arterial road. An traffic simulator (SUMO) is used to test and validate the protocol. Finally, the proposed multiagent approach is compared against a manually well designed “green wave” strategy. The results show that the multiagent strategy outperforms the manually well designed “green wave” strategy because it models more faithfully the traffic environment.