Patent ID: 11945481
Assignee: TRAFFIC CONTROL TECHNOLOGY CO., LTD
Field: Transport (Mechanical engineering)
Classification: CPC B  G | IPC B  G

Claim 4:
5. The method according to claim 1, wherein the determining the target control operation corresponding to the running state data from the plurality of preset control operations based on the preset reinforcement learning model comprises:
inputting the running state data into the reinforcement learning model to obtain a predicted value output by the reinforcement learning model for each preset control operation;
determining the target control operation from the plurality of preset control operations based on a greedy strategy algorithm according to respective predicted values of the plurality of preset control operations;
wherein the plurality of preset control operations correspond to a plurality of control gear positions arranged in an arithmetic sequence, and the plurality of control gear positions comprise a control gear position for controlling acceleration of the target train, a control gear position for controlling deceleration of the target train, and a control gear position for controlling the target train to maintain a current speed.