摘要
机动车缉查布控系统以治安交通卡口系统为基础,将公路运行车辆的构成、流量分布、违章情况等信息进行汇总,实现对车辆轨迹的查询分析,从而为交通规划、管理和案件侦破等提供有效决策。由于机动车的数量增长迅猛,且机动车违规违章具有流动性、偶发性的特点,造成卡口系统录入的数据量巨大,传统的机动车缉查布控技术只能在预设条件下对数据进行查询,不能实现快速地实时分析查询。通过采用Spark Streaming技术进行大数据实时处理,实现实时显示和告警机动车违规违章活动热点,分析和预测机动车活动轨迹。
Based on the Bayonet monitoring system,motor vehicles monitoring and controlling system can offer statisticaldata of traffic composition,traffic volume and traffic offence,and realize the query and analysis of vehicle trajectory,which provides the support for transportation planning,management and case detection. As the number of vehicles isincreasing rapidly,and traffic offence is often mobile and accidental,the Integrated Transport Information System hasto process huge data. So,traditional vehicles monitoring and controlling techniques can just query data under a presetcondition,and can not realize real-time analysis and data tracking. With the help of Spark Streaming technique,realtimeprocessing of big data is realized,and the real-time display and warning of traffic offence is possible,as well as theanalysis and prediction of vehicle trajectory.
作者
陈丽
王锐
CHEN Li;WANG Rui(Department of Computer Engineering,Guangdong Communication Polytechnic,Guangzhou Guangdong 510650,China;China Mobile Group Guangdong Co.,Ltd.,Guangzhou Guangdong 510623,China)
出处
《顺德职业技术学院学报》
2016年第4期10-15,共6页
Journal of Shunde Polytechnic
