摘要
实时路况信息监测可最大程度保证高速公路行驶安全,为了提高高速公路实时路况信息监测的性能,本文设计了一种基于多元数据融合的高速公路行车安全自动监测系统。硬件系统的关键是通过温度、湿度、光强和车流车速传感器组成的多元传感系统,采集高速公路实时路况图像信息,以有效提升高速公路实时路况图像的清晰度;软件系统的关键是通过融合高速公路实时路况信息的多元特征设计高速公路实时路况信息监测算法,以实现高速公路行车状态安全监测。实测结果表明,本系统无论在晴、雾和雨天均可获取清晰路况图像,监测准确率可达90%以上。
Real-time road condition information monitoring can ensure the driving safety of expressway to the greatest extent.In order to improve the performance of real-time road condition information monitoring of expressway,an automatic monitoring system for driving safety of expressway based on multiple data fusion is designed.The key of the hardware system is to collect the real-time road condition image information of the expressway through the multi-sensor system composed of temperature,humidity,light intensity and vehicle speed sensors,so as to effectively improve the clarity of the real-time road condition image of the expressway;The key of the software system is to design the real-time road condition information monitoring algorithm of expressway by integrating the multiple features of real-time road condition information of expressway,so as to realize the safety monitoring of expressway traffic condition.The measured results show that the system can obtain clear road condition images in sunny,foggy and rainy days,and the monitoring accuracy can reach more than 90%.
作者
郭子英
李永建
任朝阳
张帅
Guo Ziying;Li Yongjian;Ren Chaoyang;Zhang Shuai(Shandong Expressway Co.,Ltd.,Jinan 250014,China)
出处
《信息化研究》
2023年第2期62-66,共5页
INFORMATIZATION RESEARCH
关键词
多元数据融合
实时路况
监测系统
高速公路
multivariate data fusion
real time road conditions
monitoring system
expressway