面向动态隐患目标的车联网主动安全模型及系统实现

A Dynamic-danger-vehicle-oriented Active Safety Model and System Implementation for Vehicles of Internet

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.

An important goal of intemet of vehicle active safety service is to notify vehicles the potential traffic danger around them. The goal could be achieve by actively monitoring various kinds of danger vehicles,and conducting real-time collaborative analysis between danger ve- hicles and the surrounding vehicles which will be impacted by them. This paper proposed an active safety model,whose targets are high-risk and high-road-weight vehicles,for internet of vehicles under traffic management environment. We presented the modeling process,data struc- tures ,and an active collaboration algorithm in detail. Later, we validated the model and gave the analysis result based on the vehicles of inter- net traffic management platform of Sun Yat-Sen City,a major research outcome from national ＂Beidou＆Xihe＂ system. Experiments showed that our method could overcome the shortage of handling dynamic vehicles which results from only relying on geo-fencing technologies. The method could support large scale,dynamic danger vehicles tracking,querying,and active safety services.