Reinforcement learning intelligent traffic light control method and system based on Internet-of-things platform
An Internet of Things platform and signal light control technology, applied in the traffic control system of road vehicles, traffic control system, traffic signal control, etc., can solve problems such as waste of personnel costs, congestion, travel inconvenience, etc., to reduce waiting time and improve traffic Efficiency, minimize the effect of the average waiting time
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[0033] The present invention proposes an implementation method of a reinforcement learning intelligent traffic signal light control system based on the Internet of Things platform. The following is its code implementation part (interception is important):
[0034] As shown in Code 1, this part includes the code for the method of simulating the urban road and traffic flow:
[0035] defconvert_phases(self, phases_list):
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[0042] code 1
[0043] Three important functions are briefly listed, they are: convert_phases, get_adjacency_maxtrix, _compute_obs_inlanes, _compute_observations, the functions of these four functions are as follows:
[0044] Convert_phases transmits phase information, get_adjacency_maxtrix calculates the adjacency matrix of adjacent intersections in the case of multiple intersections, and obtains the information of surrounding intersections, _compute_obs_inlanes calculat...
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