The invention provides a traffic signal control method for a heterogeneous intersection and related equipment. The method is applied to a meta-learning model and a plurality of sub-learning models. And obtaining model parameters of the meta learning model, and according to the model parameters of the meta learning model, performing a first update operation on the model parameters of each sub learning model. And training the corresponding sub-learning model by using the local historical training set corresponding to each intersection. And in response to arrival of a preset timing moment, obtaining current lane vehicle state information of each intersection, and outputting a timing scheme through the corresponding sub-learning model based on the lane vehicle state information. And enabling each intersection to execute a corresponding timing scheme, and feeding back response information. Obtaining new response information of the corresponding intersection through each sub-learning model subjected to the second updating operation; and training the meta-learning model based on all the new response information.
本申请提供一种针对异构交叉路口的交通信号控制方法及相关设备,所述方法应用于元学习模型和多个子学习模型。获取所述元学习模型的模型参数,根据所述元学习模型的模型参数分别对每个子学习模型的模型参数执行第一次更新操作。采用每个路口对应的本地历史训练集对相应的子学习模型进行训练。响应于到达预设的配时时刻,分别获取每个路口当前的车道车辆状态信息,基于所述车道车辆状态信息通过对应的子学习模型输出配时方案。令每个路口执行对应的配时方案,并反馈响应信息。通过经过所述第二次更新操作的每个子学习模型获取对应路口新的响应信息;基于所有新的响应信息对所述元学习模型进行训练。
Traffic signal control method for heterogeneous intersection and related equipment
针对异构交叉路口的交通信号控制方法及相关设备
2023-08-29
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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