郑州大学学报（工学版）2024，Vol.45Issue(3)：46-54,9.DOI:10.13705/j.issn.1671-6833.2024.03.006
基于手机信令数据的城市居民动态OD矩阵提取方法
Dynamic OD Matrix Extraction Method of Urban Residents Based on Cell Phone Signaling Data
摘要
Abstract
Previous surveys of urban resident travel were hindered by prolonged durations and insufficient granularity in traffic zone divisions,which impeded the timely and accurate acquisition of travel data.To address this issue,this study proposed a method for extracting the dynamic origin-destination(OD)matrix of urban residents based on mobile phone signaling data.Firstly,methods to address two complex types of noise inherent in the signaling data:ping-pong switching data and drifting data were proposed.Specifically,a window threshold-based detection and equivalent location replacement method for ping-pong switching data was proposed,as well as a complex drift point detection and marking method for drifting data.Secondly,an enhanced ST-DBSCAN clustering algorithm was proposed,which incorporated a temporal isochronization method to integrate temporal and spatial information,enabling the identification of dwell points during travel.Finally,a road network with key nodes was established using geographic information system(GIS),aligning resident travel OD with the network nodes to effectively derive the dynamic OD matrix of urban residents.Experimental results showed that the enhanced ST-DBSCAN clustering algorithm outperformed the traditional ST-DBSCAN,improving clustering efficiency by 6.10%and identification speed by 5.26%.Furthermore,the dynamic OD matrix extraction method based on the enhanced ST-DBSCAN clustering algorithm achieved approximately 16.98%and 21.55%reductions in mean squared error compared to the conventional statistical methods and the second-order statistical methods,respectively.By applying the proposed dynamic OD matrix extraction method to the case of Beijing,this study was able to conduct timely and effective analyses of daily and peak travel patterns of urban residents.关键词
城市出行/智能交通系统/手机信令数据/动态OD矩阵/驻留点识别/时空特征分析Key words
city travel/intelligent traffic system/cell phone signaling data/dynamic origin-destination matrix/dwell point identification/spatial-temporal characteristics analysis分类
建筑与水利引用本文复制引用
田钊,张乾钟,赵轩,陈斌,佘维,杨艳芳..基于手机信令数据的城市居民动态OD矩阵提取方法[J].郑州大学学报（工学版）,2024,45(3):46-54,9.基金项目
河南省重点研发与推广专项基金资助项目(212102310039) （212102310039）
河南省高校科技创新人才支持计划基金资助项目(21HASTIT031) （21HASTIT031）
综合交通运输大数据应用技术交通运输行业重点实验室开放课题(2022B1201) （2022B1201）
