Traffic signal lamp control method and system based on reinforcement learning
A traffic signal and signal light control technology, applied in traffic control system, traffic control system of road vehicles, control of traffic signals, etc., can solve problems such as dependence on serious human intervention factors
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[0064] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0065] A traffic light control method based on reinforcement learning, such as figure 2 shown, including the following steps:
[0066] Step 1: Establish the signal light control Agent model, such as figure 1 shown.
[0067] The hybrid signal light control Agent model based on Belief-Desire-Intention (BDI) theory can interact with the changing external environment in real time, dynamically and autonomously, perceive and act on the environment, and Through the implementation of their own behavior to achieve the purpose of alleviating traffic congestion.
[0068] Step 2: Establish models of road intersections, roads, and signal lights.
[0069] The road network model was constructed using netedit 1.7.0, the accompanying software of SUMO. The road intersection is composed of four roads in the southeast, northwest, and there is a traffic signal light a...
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