摘要
针对黄河特大桥由团雾引起的交通事故频发的情况,通过在京台高速公路(G3)黄河大桥布设能见度仪、温湿度传感器、一体式气象站等气象设备,对该路段高速公路特大桥的气象情况进行了全年采集并进行了气象条件分析。针对团雾多发路段,开展了基于视觉相机的团雾预测算法研究,最后提出了相应黄河特大桥团雾管控策略。
In view of the Yellow River bridge on frequent traffic accidents caused by agglomerate fog,in Beijing-TaiPei expressway(G3)Yellow River bridge construction visibility meter,temperature and humidity sensors,one-piece weather stations and other meteorological equipment,the meteorological condition of the highway bridge on a section analyzed the meteorological conditions and collected throughout the year.According to mass of fog multiple sections,the fog prediction algorithm based on visual camera is studied,and the fog control strategy of the Yellow River bridge is proposed.
作者
王孜健
张昱
申全军
樊兆董
么新鹏
WANG Zijian;ZHANG Yu;SHEN Quanjun;FAN Zhaodong;ME Xinpeng(Innovation Research Institute of Shandong Expressway Group Co.,Ltd.,Shandong Jinan 250098 China;Shandong Transportation Institute,Shandong Jinan 250031 China;Shandong Road Region Safety and Emergency Support Transportation Industry Laboratory,Shandong Jinan 250031 China)
基金
山东省交通科技项目,项目名称:不良气象条件下黄河特大桥交通运行风险防控技术,项目编号:2020B46
关键词
团雾
识别
策略
agglomerate fog
identify
strategy