计算机工程2017，Vol.43Issue(5)：1-7,7.DOI:10.3969/j.issn.1000-3428.2017.05.001
面向车辆轨迹数据的违法取证分析系统
Illegal Forensic Analysis System for Vehicle Trajectory Data
摘要
Abstract
Aiming at the problems of low efficiency and single function of the existing illegal forensics analysis system for public security,this paper proposes an illegal forensics analysis system based on cloud platform and big data.It uses MongoDB to store original and mass vehicle trajectory data and MapReduce distributed computing to mine and screen trajectory data.The system scheduler on big data platform is used to schedule the resources of the system and monitor the running state of the system.Based on the extraction of discrete trajectory data for violation of the provisions of time travel,illegal provisions of the route,and fatigue driving for forensic analysis to find illegal vehicles.Experimental result shows that,when the vehicle trajectory data scale is large,the system still has high efficiency and stability.关键词
大数据/数据挖掘/交通监控/取证分析/并行处理Key words
big data/data mining/traffic monitoring/forensic analysis/parallel processing分类
信息技术与安全科学引用本文复制引用
乔千雄,曾洁茹,彭璇,郭迟..面向车辆轨迹数据的违法取证分析系统[J].计算机工程,2017,43(5):1-7,7.基金项目
国家“863”计划项目(2013AA12A206) （2013AA12A206）
道路交通安全公安部重点实验室开放课题(2016ZDSYSKFKT04) （2016ZDSYSKFKT04）
中国工程院重大咨询项目. （）
