摘要
【目的】针对智慧高速公路团雾预测难及低能见度环境下的行车安全隐患,构建智能诱导警示系统,以增强恶劣天气下的道路安全主动防控能力。【方法】提出基于LoRa广域物联网技术,构建“监测-预警-诱导”闭环智能管控系统,采用梯度控制策略部署能见度监测仪、温湿度传感器与机器视觉设备,通过多源数据融合,搭建低延时LoRa通信网络,通过AI智能控制中枢实现团雾灾害实时感知与分级响应。【结果】现场测试表明:在开启智能诱导警示系统后,低能见度路段(能见度<200 m)的车辆平均紧急制动次数较未开启时的降低约72%,事故响应时间缩短至30 s以内。【结论】本系统通过动态诱导警示与多源感知协同机制,显著提升了恶劣天气下的道路安全水平,为智慧高速公路建设提供了可复制的主动防控解决方案,具有重要的工程应用价值。
[Purposes]To address the difficulties in predicting localized fog on smart expressways and ensure driving safety in low-visibility environments,an intelligent guidance and warning system was developed to enhance proactive road safety prevention and control capabilities under adverse weather conditions.[Methods]A closed-loop intelligent management and control system was built based on LoRa wide-area Internet of Things(IoT)technology,featuring“monitoring,warning,and guidance”.A gradient control strategy was adopted to deploy visibility meters,temperature and humidity sensors,and machine vision equipment.A low-latency LoRa communication network was constructed by fusing multi-source data,and real-time perception of localized fog hazards and multi-level response were achieved through an AI control center.[Findings]Field tests demonstrate that with the intelligent guidance and warning system activated,the average emergency braking frequency in low-visibility sections(visibility of less than 200 m)decreases by about 72%,and accident response time is shortened to within 30 seconds.[Conclusions]Through dynamic guidance and warnings and multi-source perception synergy,this system significantly improves highway safety in adverse weather.It provides a replicable proactive safety prevention and control solution for smart expressway construction with substantial engineering value.
作者
王琪轩
华实
王静伟
杜科
WANG Qixuan;HUA Shi;WANG Jingwei;DU Ke(Hunan Communications Research Institute Co.,Ltd.,Changsha 410029,China;Transportation Safety Emergency Information Assurance Technology and Equipment Industry Research Center,Changsha 410029,China)
出处
《长沙理工大学学报(自然科学版)》
2025年第4期116-124,共9页
Journal of Changsha University of Science & Technology:Natural Science
基金
湖南省交通运输厅科技创新项目(201817、202139)。
关键词
智慧高速公路
低能见度环境
智能诱导警示系统
LoRa广域物联网技术
主动防控
smart expressway
low-visibility environment
intelligent guidance and warning system
LoRa wide-area IoT technology
proactive prevention and control
