基于线圈大数据的道路交通运行分析与挖掘  

Road Traffic Operation Analysis and Data Mining Based on Loop Detector Big Data

作　　者：王亮[1] 刘晓锋[2] 刘少堂 张海[1] 闫光辉[2] 

机构地区：[1]天津市公安交通管理局,天津 [2]天津职业技术师范大学,汽车与交通学院,天津

出　　处：《交通技术》2017年第6期269-276,共8页Open Journal of Transportation Technologies

基　　金：天津市高校科技发展基金项目(20140917);天津市科技计划项目(智能交通与无人飞机知识科普展示)。

摘　　要：以检测线圈大数据为研究对象,对其数据特征进行了分析,归纳了检测线圈大数据丢失和异常的原因,提出了数据修复的处理方法。以天津市围堤道检测线圈大数据为例,分析了交通量、交通时空分布和交通拥堵特征。以检测线圈的流量数据为基础,提出了基于交通仿真的车速挖掘方法,并进行了案例分析,案例结果表明该方法可获取交通拥堵时段和拥堵范围等信息。Loop detector big data was focused and its characteristics were analyzed. Then, the reasons of big data lost and abnormality were illustrated, and the data repairment method was given. Next, taking loop detector big data of Weidi Road in Tianjin City as an example, the traffic volume situation, the traffic spatial-temporal distribution and traffic congestion were analyzed. Finally, based on traffic volume data, a data mining method using traffic simulation was proposed to obtain traffic speed, and the case result showed that both the traffic congestion period and region can be acquired.

关 键 词：交通工程 交通控制 数据挖掘 交通大数据 检测线圈 

分 类 号：U4[交通运输工程—道路与铁道工程]