江苏省过江特征与交通量分析——基于多源数据融合技术

Analysis on the characteristics of river crossing and traffic volu me in Jiangsu Province--Based on multi-source data fusion technology

为了支撑江苏省过江通道建设,摸清机动车过江现状,了解过江出行特征,江苏省开展了全省机动车OD调查。本调查结合交通行业数据、问卷数据和手机信令大数据等调查多种手段,获得不同类型的多源异构数据;根据数据特点,对多源数据进行剔除、整理、融合、归并和统一等处理,按需求形成机动车OD矩阵和出行特征,最后利用GIS、Python和Echart进行可视化展示。本调查成功将多源数据融合技术应用到区域性OD调查中,大大提升了调查效率和全面性;确定了数据融合扩样的规则,形成了全套数据融合处理技术。而且,调查形成了OD对与出行特征对应的属性表,研究不同OD对间客货运量与出行特征的关系,发现交通量与区域经济结构、产业分布、城市特色、过江通道类型等都有着密切的关系。

In order to understand the current cross-river transportation condition and its characteristics,an Origination and Destination distribution(OD)vehicle traffic survey has recently been organized in Jiangsu Province to support the following planning and construction of cross-river channels.This survey generates multi-source in various types and structure based on statistical data,questionnaire data,and cellular signaling data.The vehicle OD matrix and traveling attributes has been built by culling,sorting,fusion analysis,and merging on multi-source data.The result of the survey and following data analysis has been visualized by GIS,Python,and Echart tools.The survey and its following analysis successfully applies multi-source data fusion method into regional origination and destination distribution survey,improves the efficiency and co mprehensiveness of traffic survey,and sets up the rule for data fusion and sampled data expansion.The research on the relationship between traveling attributes and passenger/freight volume in OD pair illustrates the correlation between traffic and regional economy structure,industry distribution,city characteristic,and type of cross-river channels.