The invention provides a training method of a signal lamp control model, a signal lamp control method and electronic equipment, and relates to the field of artificial intelligence, in particular to the field of deep learning and intelligent traffic. The specific implementation scheme is as follows: based on an offline trajectory data set of each source city in a plurality of source cities, performing meta-training on a first signal lamp control model to obtain a second signal lamp control model; obtaining an online track data set of the target city based on interaction between the second signal lamp control model and a traffic system of the target city; and performing fine tuning on the second signal lamp control model based on the online track data set of the target city to obtain a third signal lamp control model.
本公开提供了信号灯控制模型的训练方法、信号灯控制方法和电子设备,涉及人工智能领域,尤其涉及深度学习和智能交通领域。具体实现方案为:基于多个源城市中的每个源城市的离线轨迹数据集,对第一信号灯控制模型进行元训练,得到第二信号灯控制模型;基于第二信号灯控制模型与目标城市的交通系统之间的交互,得到目标城市的在线轨迹数据集;基于目标城市的在线轨迹数据集对第二信号灯控制模型进行微调,得到第三信号灯控制模型。
Training method of signal lamp control model, signal lamp control method and electronic equipment
信号灯控制模型的训练方法、信号灯控制方法和电子设备
2024-08-23
Patent
Electronic Resource
Chinese
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