基于手机信令数据的交通OD提取方法改进  

An Improved Method of Extracting OD Information Based on Mobile Phone Data

作　　者：胡永恺 宋璐[1,2] 张健[1,2] 冉斌[1,2] 

机构地区：[1]东南大学城市智能交通江苏省重点实验室,南京210096 [2]东南大学现代城市交通技术江苏高校协同创新中心,南京210096

出　　处：《交通信息与安全》2015年第5期84-90,111,共8页Journal of Transport Information and Safety

基　　金：国家重点基础研究项目(批准号:2012CB725400);江苏省普通高校研究生创新基金项目(批准号:CXZZ12_0115)资助

摘　　要：手机信令数据作为一种大数据,在交通OD调查中应用日益广泛。从手机信令数据中提取交通OD量化指标需要经过出行端点识别和出行端点匹配2个步骤。为了克服现有研究中基站覆盖范围假设与实际出入较大的情况,笔者改进了出行端点匹配方法。首先分析了传统交通小区和基于蜂窝小区聚类交通小区2种交通小区划分方法各自的特点和适用条件;对于使用传统方式划分的交通小区,提出了缩小基站可能覆盖范围的方法,使用用户最大可能活动范围,排除用户不可能达到的区域,结果表明该方法可提高部分出行端点匹配精度。对使用蜂窝小区聚类划分的交通小区,将聚类流程进行了简化,去掉了部分不能显著提高精度的流程,结果表明简化后未明显降低匹配精度。Mobile phone network data has been wildly used in origin-destination（OD）survey.To extract OD data from cellular data,there are two key steps：identifying travel endpoints;and matching them with traffic analysis zones（TAZs）.The assumptions about cellular signal coverage in existing studies are quite different from the reality,which leads to complex analysis processes with low accuracy.Two improved methods were proposed to address such issues,based on the analyses about the features and application conditions of traditional TAZ and cell clustered TAZ.For traditional TAZ,the matching accuracy of travel endpoint location is increased by identifying the maximum coverage areas of base stations,and by excluding those areas that are inaccessible using the maximum travel distances.This method is found to be effective for improving the matching accuracy of a portion of travel origin/destination points.For cell clustered TAZ,the cluster process is improved by removing less important steps.Then it is found that the method becomes simpler,but the matching accuracy remains to be very similar.

关 键 词：交通大数据 手机信令数据 交通OD 交通小区划分 出行端点匹配 

分 类 号：U471.2[机械工程—车辆工程]