面向不同主题的交通大数据可视分析

大数据时代,交通数据如何更快更准确地实时反映交通状况成为研究热点。使用不同交通数据对不同的研究主题进行可视分析,进而揭示蕴含的交通信息知识,为交通部门提供决策支持。首先,分析了大数据的基本特征,总结了大数据可视分析的研究现状;其次,对交通大数据的基本构成、获取方式及数据类型特点进行详细描述;最后,按照不同的研究主题选择不同的数据源与不同的可视化表达方式,揭示不同研究主题蕴含的交通规律,为交通大数据的自动模型分析提供可靠的可视化知识。

Visual Analytics of Traffic Big Data for Different Themes

In the era of big data,it has become a research hotspot how to reflect the traffic situation more quickly and accurately for the traffict data.In this paper,different traffic data are used to analyze the different research topics,reveal the traffic information knowledge and provide decision support for transportation.Firstly,the characteristics of the big data are analyzed and research status of visual analytics of big data is summarized.And the basic composition,the way of traffic data acquired,data types are described in details.Secondly,according to the different research topics,the way of different data sources and different visual expressions are chosen.Finally,the traffic laws of different research topics are revealed which provides reliable visual knowledge for automatic model analysis of large data.