Epidemic prevention and control-oriented bus in-transit reinforcement learning speed control method

The invention discloses a bus in-transit reinforcement learning speed control method for epidemic prevention and control, and the method comprises the steps: sensing the real-time traffic information of a bus line through a roadside facility, dynamically obtaining the real-time operation information of a bus, building a bus operation simulation system with continuous time according to a real bus line, and carrying out the real-time operation simulation of the bus. A simulation environment is provided for reinforcement learning training; the method comprises the following steps: establishing a bus in-transit driving state transfer model, establishing a reinforcement learning framework based on a simulation system, outputting specific actions of a continuous space in the reinforcement learning framework by using a neural network, and calculating the driving speed of a bus arriving at a next station according to the running state of the bus by the neural network. According to the method and the system, the runni