面向动态隐患目标的车联网主动安全模型及系统实现
发布时间：2019-03-22 06:05
【摘要】：对交通中的各类运动隐患目标进行主动监控,并将其与周边关联移动车辆的状态进行实时协同分析,为周边关联车辆推送动态隐患信息,是汽车物联网主动安全服务的重要目标之一.提出一种在交管车联网环境下,针对高危险及高路权车辆所构成的动态隐患目标的主动安全模型,详细阐述了相关建模过程、数据结构和主动协同算法;作为国家"北斗-羲和系统"的重点研究成果,结合中山市交管车联网平台进行了模型验证,并给出了数据分析结果.研究表明,本文的方法能够克服当前车联网仅依靠地理围栏等技术无法处理动态隐患目标的缺陷,能够支持大规模动态隐患目标的跟踪、查询及动态隐患域内的主动安全服务.
[Abstract]:This paper carries on the active monitoring to all kinds of hidden danger targets in the traffic, and carries on the real-time collaborative analysis with the condition of the mobile vehicles associated with the surrounding areas, and pushes the dynamic hidden danger information for the surrounding related vehicles. It is one of the important goals of the active safety service of the Internet of things. In this paper, an active safety model for the dynamic hidden danger target of high-risk and high-road-right vehicles is proposed under the environment of traffic management and interconnection, and the related modeling process, data structure and active collaborative algorithm are described in detail. As the key research result of the national "Beidou-Xi he system", the model is verified and the data analysis results are given based on the platform of traffic management and vehicle networking in Zhongshan City. The results show that the method in this paper can overcome the defect that the vehicle network can not deal with the dynamic hidden trouble target only by geographical fence, and can support the tracking, query and active security service of the large-scale dynamic hidden trouble target.
【作者单位】： 武汉大学软件工程国家重点实验室;武汉大学卫星定位导航技术研究中心;武汉大学计算机学院;
【基金】：国家“八六三”高技术研究发展计划基金项目(2013AA12A206,2013AA12A204)资助 国家自然科学基金项目(41104010,91120002)资助 高等学校学科创新引智计划项目(B07037)资助
【分类号】：U495;TP391.44;TN929.5
本文编号：2445316
[Abstract]:This paper carries on the active monitoring to all kinds of hidden danger targets in the traffic, and carries on the real-time collaborative analysis with the condition of the mobile vehicles associated with the surrounding areas, and pushes the dynamic hidden danger information for the surrounding related vehicles. It is one of the important goals of the active safety service of the Internet of things. In this paper, an active safety model for the dynamic hidden danger target of high-risk and high-road-right vehicles is proposed under the environment of traffic management and interconnection, and the related modeling process, data structure and active collaborative algorithm are described in detail. As the key research result of the national "Beidou-Xi he system", the model is verified and the data analysis results are given based on the platform of traffic management and vehicle networking in Zhongshan City. The results show that the method in this paper can overcome the defect that the vehicle network can not deal with the dynamic hidden trouble target only by geographical fence, and can support the tracking, query and active security service of the large-scale dynamic hidden trouble target.
【作者单位】： 武汉大学软件工程国家重点实验室;武汉大学卫星定位导航技术研究中心;武汉大学计算机学院;
【基金】：国家“八六三”高技术研究发展计划基金项目(2013AA12A206,2013AA12A204)资助 国家自然科学基金项目(41104010,91120002)资助 高等学校学科创新引智计划项目(B07037)资助
【分类号】：U495;TP391.44;TN929.5
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