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作 者:唐宇健 陈雅[2] Tang Yujian;Chen Ya(Nanning Tobacco Monopoly Administration,Nanning 530007,China;Guangxi Police College,Nanning 530023,China)
机构地区:[1]南宁市烟草专卖局,广西南宁530007 [2]广西警察学院,广西南宁530023
出 处:《无线互联科技》2019年第13期50-51,共2页Wireless Internet Technology
基 金:2019年广西密码学与信息安全重点实验室开放项目;项目名称:基于深度学习的细粒度图像分类中车辆预警应用中的关键技术研究;项目编号:GCIS201812;2019年广西中青年教师基础能力提升项目;项目名称:深度学习在嫌疑车辆追逃中的应用研究;项目编号:2019KY0878。2019年广西中青年教师基础能力提升项目;项目名称:警情事件时空关联分析方法研究;项目编号:2019KY0885
摘 要:随着国内交通信息系统的完善,对道路、交通、车辆的监控也更加完善,形成了基于交通线路的动态监控系统。该系统的应用为交通管理、案件侦破、事故处理等工作提供了极大的便利,具有极高的应用价值。异常车辆预警就是通过对车辆路线循迹进行深入挖掘、整合、分析,形成转型预警方案,从海量的车辆动态信息中发现问题,指导相关部门采取及时的应对措施。基于大数据的交通分析和研究已经形成了爆发式增长,在充分地进行理论研究和对策研究后,大数据背景下的智能交通管理建设正如火如荼地进行,如何利用现有的多元数据采集渠道,加强数据处理的效率,高效、准确、及时地提供数据分析结果,很多地区和领域都进行了广泛的研究。文章对此展开了深入的分析。With the improvement of the domestic transportation information system, the monitoring of roads, traffic and vehicles is more perfect, and a dynamic monitoring system based on traffic lines is formed. The application of this system provides great convenience for traffic management, case detection, accident handling, etc., and has a very high application value. The abnormal vehicle early warning is to form a transformation early warning plan through in-depth excavation, integration, and analysis of vehicle route tracking. From the vast amount of vehicle dynamic information, problems are found and relevant departments are guided to take timely response measures. Traffic analysis and research based on big data have formed an explosive growth. After full theoretical research and countermeasures research, the management of intelligent traffic construction under the background of big data is in full swing, and how to make use of existing multiple data collection channels. Improve the efficiency of data processing, provide data analysis results in an efficient, accurate and timely manner, and conduct extensive research in many regions and fields. This paper carries out an in-depth analysis of this.
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