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作 者:李文康 刘承艳 王柯璇 田哲 陈邦华 Li Wenkang;Liu Chengyan;Wang Kexuan;Tian Zhe;Chen Banghua(College of Civil Engineering and Transportation,Northeast Forestry University,Harbin 150040,China)
机构地区:[1]东北林业大学土木与交通学院,哈尔滨150040
出 处:《黑龙江科学》2024年第16期44-47,51,共5页Heilongjiang Science
摘 要:在低能见度天气下的行车安全一直是人们广泛关注的话题,尤其是在高速公路上,由于行驶速度较快,不仅容易发生交通事故,事故发生后人力财力物力的损失也比一般道路更为严重。为了尽量避免低能见度天气下高速公路事故的发生,提出一种基于图像识别和云端互联的高速公路综合汽车安全保障系统,防止车辆超速、疲劳驾驶,降低追尾事故的发生率,极大程度地为车辆出行提供安全保障,降低事故风险。Driving safety in low visibility weather has always been a topic of widespread concern.Especially on the highway,due to the faster speed,traffic accidents are not only to be easily occurred,but also the loss of human,financial and material resources after the accident is more serious than the general road.In order to avoid the occurrence of highway accidents in low-visibility weather as far as possible,the study proposes a comprehensive highway vehicle safety guarantee system based on image recognition and cloud interconnection to prevent vehicles from speeding and fatigue driving,reduce the incidence of rear-end accidents,greatly provide security for vehicle travel,and reduce accident risks.
关 键 词:交通安全 高速公路 雾天行车 多通路网络 云端+本地
分 类 号:U492.8[交通运输工程—交通运输规划与管理]
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