The invention discloses a traffic signal lamp control method and device, equipment, a medium and a product. The method comprises the following steps: acquiring a traffic state of an intersection in a first time period, converting the traffic state into corresponding traffic state text information, and filling the traffic state text information into a text information template to obtain a target text information template; the target text information template is input into a large language model, the large language model can make an efficient traffic flow control decision according to the input text information, and target signal lamp state configuration information is output; and finally, according to the target signal lamp state configuration information, controlling the state of the traffic signal lamp in the second time period. The input and output of the large language model are both text information, so that compared with a traditional deep reinforcement learning method, the method is more interpretable, and the back logic of the control behavior under a certain traffic condition is easy to understand. The large language model of the scheme does not need sample training, and can show excellent generalization ability in different traffic scenes.
本申请公开了一种交通信号灯的控制方法、装置、设备、介质及产品,该方法。该方法通过采集路口在第一时间段的交通状态,在将交通状态转换为对应的交通状态文本信息后,填充至文本信息模板,得到目标文本信息模板。接着将目标文本信息模板输入大语言模型,大语言模型能够根据输入的文本信息,做出高效的交通流控制决策,输出目标信号灯状态配置信息;最后根据目标信号灯状态配置信息,控制第二时间段时的交通信号灯的状态。由于大语言模型的输入输出均为文本信息,相较于传统的深度强化学习方法更具可解释性,容易理解在某交通状况下控制行为的背后逻辑。本方案的大语言模型无需样本训练,可在不同流量场景下,展现出卓越的泛化能力。
Traffic signal lamp control method, device, equipment, medium and product
一种交通信号灯的控制方法、装置、设备、介质及产品
2024-11-15
Patent
Electronic Resource
Chinese
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