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基于LoRa的公路低能见度智能诱导警示系统的研究及应用

王琪轩 华实 王静伟 杜科

长沙理工大学学报(自然科学版)2025,Vol.22Issue(4):116-124,9.
长沙理工大学学报(自然科学版)2025,Vol.22Issue(4):116-124,9.DOI:10.19951/j.cnki.1672-9331.20250512002

基于LoRa的公路低能见度智能诱导警示系统的研究及应用

Research and application of LoRa-based intelligent guidance and warning system for low-visibility highway conditions

王琪轩 1华实 1王静伟 1杜科1

作者信息

  • 1. 湖南省交通科学研究院有限公司,湖南 长沙 410029||交通运输安全应急信息保障技术及装备行业研发中心,湖南 长沙 410029
  • 折叠

摘要

Abstract

[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.

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

Key words

smart expressway/low-visibility environment/intelligent guidance and warning system/LoRa wide-area IoT technology/proactive prevention and control

分类

交通工程

引用本文复制引用

王琪轩,华实,王静伟,杜科..基于LoRa的公路低能见度智能诱导警示系统的研究及应用[J].长沙理工大学学报(自然科学版),2025,22(4):116-124,9.

基金项目

湖南省交通运输厅科技创新项目(201817、202139) Hunan Provincial Department of Transportation Science and Technology Innovation Projects(201817 and 202139) (201817、202139)

长沙理工大学学报(自然科学版)

1672-9331

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