The invention discloses a traffic facility intelligent adjustment method and system based on optical fiber display, and the method comprises the steps: obtaining traffic flow information through obtaining and preprocessing road surface data, determining the change time of a traffic facility, and generating a first control instruction; meanwhile, a brightness optimization model is obtained by performing preprocessing and deep learning model training on a traffic signal lamp image data set. And calculating an optimal brightness value by using the brightness optimization model in combination with the real-time environment and state data, and generating a second control instruction. Finally, the traffic facility is intelligently adjusted according to the two control instructions, self-adaptive adjustment and automatic dodging processing of the brightness of the signal lamp and the electronic roadside signboard are achieved, and controllability and stability of the traffic facility are improved.
本发明公开了一种基于光纤显示的交通设施智能调节方法及系统,包括:通过获取路面数据并预处理来获取交通流量信息,进而确定交通设施变化时间,并生成第一控制指令。同时,通过对交通信号灯图像数据集进行预处理和深度学习模型训练,获得亮度优化模型。结合实时环境和状态数据,利用亮度优化模型计算出最优亮度值,并生成第二控制指令。最终,根据两个控制指令智能调节交通设施,实现信号灯和电子路侧标志牌亮度的自适应调节和自动匀光处理,提高交通设施的可控性和稳定性。
Method and system for intelligently adjusting traffic facilities based on optical fiber display
一种基于光纤显示的交通设施智能调节方法及系统
2025-05-06
Patent
Electronic Resource
Chinese
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