期刊文献+

交通流量时空特征可视化分析——以海口市2017年5月至10月滴滴出行数据为例 被引量:1

Visualization Analysis of Spatial-temporal Characteristics of Traffic Flow——Taking Didi Chuxing Data of Haikou City from May to October,2017 as an Example
下载PDF
导出
摘要 滴滴出行数据中包含了丰富的用户位置信息、出行时空属性、用户行为规律与特征,通过对这些信息的深入分析与挖掘,并结合可视化技术,以图形图像的方式展示,有助于分析用户出行的规律。为了直观展示海口市交通流量动态变化,分析车辆出行的时空规律和交通出行路况,设计一个可视化分析系统。以日历图、径向柱状图等可视化方法为依据,结合可视化工具,从出行数据的不同维度着手分析海口市交通流量情况。该系统能够客观地反映海口市交通变化情况,可以为交通管理规划提供合理的依据。 Didi Chuxing data contains a wealth of user location information,travel spatial-temporal attributes,user behavior rules and characteristics.Through in-depth analysis and mining of these information,it can be displayed in the form of graphics and images combined with visualization technology,which is helpful to analyze the user travel rules.A visual analysis system is designed to show the dynamic changes of Haikou traffic flow and to analyze the temporal and spatial law of vehicle travel and traffic conditions.Based on calendar chart,radial histogram and other visualization methods,combined with visualization tools,the traffic flow of Haikou City is analyzed from different dimensions of travel data.The system can objectively reflect the traffic changes in Haikou City and provide a reasonable basis for traffic management planning.
作者 赵清波 刘海砚 李佳 刘建湘 康磊 ZHAO Qingbo;LIU Haiyan;LI Jia;LIU Jianxiang;KANG Lei(Information Engineering University, Zhengzhou 450001, China)
机构地区 信息工程大学
出处 《测绘科学技术学报》 CSCD 北大核心 2021年第5期521-528,536,共9页 Journal of Geomatics Science and Technology
基金 河南省自然科学基金项目(182300410005)。
关键词 滴滴出行数据 可视化方法 时空特征 可视化分析 交通流量 Didi Chuxing data visualization method spatial-temporal characteristics visual analysis traffic flow
  • 相关文献

参考文献5

二级参考文献71

  • 1黄建中.1980年代以来我国特大城市居民出行特征分析[J].城市规划学刊,2005(3):71-75. 被引量:35
  • 2KEIM D,ANDRIENKO G,FEKETE J D. Visual analytics:definition,process,and challenges[A].Beilin:Springer-Verlag,2008.154-175.
  • 3MACEACHREN A,KRAAK M. Research challenges ingeo visualization[J].Cartography and Geographic Information Systems,2001,(01):3-12.
  • 4KEIMD,KOHLHAMMERJ,ELLISG. Mastering the information age solving problems with visual analytics[M].Goslar:Eurographics Association,2010.
  • 5ANDRIENKO G,ANDRIENKO N,DEMSARB U. Space,time and visual analytics[J].International Journal of Geographical Information Science,2010,(10):1577-1600.
  • 6GUO Dian-sheng,CHEN Jin,MACEACHREN A. A visual inquiry system for space time and multivariate patterns ,(VIS-STAMP)[J].IEEE Transactions on Visualization and Computer Graphics,2006,(06):1461-1474.doi:10.1109/TVCG.2006.84.
  • 7TAKATSUKA M,GAHEGAN M. Geovista studio:a codeless visual programming environment for geoscientific data analysis and visualization[J].Computers & Geosciences,2002,(10):1131-1144.
  • 8HARDISTY F,ROBINSON A C. The geoviz toolkit:using component-oriented coordination methods for geographic visu alization and analysis[J].International Journal of Geographical Information Science,2011,(02):191-210.
  • 9GUO Han-qi,WANG Zu-chao,YU Bo wen. Tripvista:triple perspective visual trajectory analytics and its application on microscopic traffic data at a road intersection[A].USA:IEEEComputer Society Press,2011.163-170.
  • 10WOOD J,DYKES J,SLINGSBY A. Interactive visual exploration of a large spatio temporal dataset:reflections on a geovisualization mashup[J].IEEE Transactions on Visualization and Computer Graphics,2007,(06):1176-1183.

共引文献58

同被引文献9

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部