基于R语言的交通流量数据可视化应用
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摘要
对于目前交通管理系统采集海量数据利用效率不足的问题,以青岛胶南市的部分交通流量数据为例,通过R语言对交通流量的可视化探索R在交通流量可视化中的应用;利用R语言的简单编码对交通流量数据实现不同形式的可视化;结合胶南市部分路口的监测线圈数据对其交通流量的状况用R进行可视化;通过R绘制地图、趋势图、比例图、分面图、三维图来分析研究R的可视化效果。结果显示,R语言可以通过简洁的代码设计来实现良好的数据分析效果,在可视化数据挖掘中的优势明显。
In view of the fact that the massive data from the traffic management system haven’t been used effectively, taking some traffic flow data of Jiaonan City in Qingdao City for example, we explored the visualization application of R in traffic spatio-temporal data through traffic visualization of R. We used R code to visualize traffic flow data in different forms. Combining with the monitoring coil data in part of the intersection in Jiaonan City, we used R to visualize the traffic flow. We analyzed the visualization effect of R by map, trend map, scale map, faceted map, 3D map, which drew by R. The result shows that R can achieve data analysis effect greatly by the succinct code, and have advantages obviously in visual data mining.
In view of the fact that the massive data from the traffic management system haven’t been used effectively, taking some traffic flow data of Jiaonan City in Qingdao City for example, we explored the visualization application of R in traffic spatio-temporal data through traffic visualization of R. We used R code to visualize traffic flow data in different forms. Combining with the monitoring coil data in part of the intersection in Jiaonan City, we used R to visualize the traffic flow. We analyzed the visualization effect of R by map, trend map, scale map, faceted map, 3D map, which drew by R. The result shows that R can achieve data analysis effect greatly by the succinct code, and have advantages obviously in visual data mining.
引文
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[8]姜晓睿,田亚,蒋莉,等.城市道路交通数据可视分析综述[J]中国图象图形学报,2015,20(4):454-467
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[2]韩卫国,王劲峰,王海起,等.基于数据可视化的交通流量分析[J].武汉理工大学学报,2004,28(5):668-670
[3]于春全.北京市道路交通流实时动态信息系统的研究[J].交通运输系统工程与信息,2002,2(3):22-28
[4]骆剑承,周成虎,梁怡,等.时空数据智能化处理与分析的理论和方法探讨[J].中国图象图形学报,2001,6(9):836-841
[5]Keim D A.Designing Pixel-oriented Visualization Techniques:Theory and Applications[J].IEEE Transactions on Visualization and Computer Graphics,2000,6(1):1-20
[6]陈荣鑫.R软件的数据挖掘应用[J].重庆工商大学学报(自然科学版),2011,28(6):602-607
[7]韩卫国,王劲峰,胡建军.交通流量数据缺失值的插补方法[J].交通与计算机,2005,28(2):39-42
[8]姜晓睿,田亚,蒋莉,等.城市道路交通数据可视分析综述[J]中国图象图形学报,2015,20(4):454-467
[9]Edsall R M.The Parallel Coordinate Plot in Action:Design and Use for Geographic Visualization[J].Computational Statistics&Data Analysis,2003,43(4):605-619
[10]荣建,向怀坤,冯天科.基于GIS的城市快速路交通仿真模型研究[J].公路交通科技,2004,21(2):77-83
[11]Healey C G.Choosing Effective Colors for Data VisualizaTion[C].Proceedings of IEEE Visualization,1996
[12]Tsoukatos I,Gunopulos D.Efficient Mining of Spatio-Temporal Patterns[C].Proceedings of the 7th International Symposium on Spatial and Temporal Databases(SSTD),2001
[13]刘大有,陈慧灵,齐红,等.时空数据挖掘研究进展[J].计算机研究与发展2013,50(2):225-239
[14]Dempster A P,Laird N M,Rubin D B.Maximum Likelihood from Incomplete Data Via the EM Algorithm[J].Journal of the Royal Statistical Society,1977,39(1):1-38
[15]Wegman E J.Hyperdimensional Data Analysis Using Parallel Coordinates[J].Journal of the American Statistical Association,1990,411(85):664-675