The application discloses a kind of
public transport dynamic scheduling method and
system based on vehicle management, by collecting the historical data and real-
time data of
electric bus operation, construct dispatching environment
simulation system, based on
bus route data and historical passenger boarding data automatically generate passenger travel information,
bus operation is modeled as dynamic discrete process, and introduce vehicle availability and charging restriction and other constraints, build close to actual
bus operation
simulation environment;Based on the scheduling
simulation environment, a Markov
decision process is established, and the vehicle
availability management parameters are clearly defined in the
state space and the reward function;The
Rainbow DQN model is used for training, the scheduling strategy is continuously optimized according to the environment feedback, and the trained model is used to infer and generate a dynamic scheduling scheme based on real-
time data, taking into account passenger travel demand and bus company operational efficiency while meeting vehicle availability, providing intelligent scheduling decision support for management personnel.