Train operation scheme adjusting method and device, electronic equipment and storage medium

The invention discloses a train operation scheme adjusting method and device, electronic equipment and a storage medium, firstly, the arrival rule of passengers is researched through AFC data of rail transit, the trip chain of the passengers is reproduced, then an OD matrix of a rail transit network is generated through an adversarial neural network, a network simulation model of rail transit is built on the basis, and the train operation scheme is adjusted. A deep reinforcement learning model for train adjustment is established, and the deep reinforcement learning model is used for training and learning; and the train operation scheme adjustment system adjusts the train operation scheme by using the trained deep reinforcement learning model. 本发明公开了一种列车运行方案调整方法、装置、电子设备及存储介质，首先通过轨道交通的AFC数据研究乘客的到站规律、重现乘客的出行链，然后用对抗神经网络生成轨道交通线网的OD矩阵，并以此为基础搭建轨道交通的线网仿真模型，建立列车调整的深度强化学习模型，利用深度强化学习模型进行训练和学习；列车运行方案调整系统利用训练好的深度强化学习模型进行列车运行方案的调整。