摘要
构建可配置、易扩展、高开放性的交通流可视化平台的框架并实现基于可视化的决策分析,通过大数据平台处理、存储海量、高频率的交通数据支持下实现交通流信息实时可视化,为交通数据智能分析提供直观展示。在此基础上,提出针对短时交通流预测的思路和方法。
Build a framework of configurable, easy-to-expand and high-open traffic flow visualization platform and a decision analysis platfom visualization-based to realize real-time visualization of traffic flow information Supported by large data platform processing, storage of mass and high-Frequency traffic data. Data intelligence analysis provides intuitive display. Based on this, the ideas and methods for short-term traffic flow prediction are proposed.
作者
贾朝龙
郝晓楠
王雪纯
曾友渝
JIA Chaolong;HAO Xiaonan;WANG Xuechun;ZENG Youyu(School of Software Engineering,Chongqing University of Posts and Telecommunications,Chongqing A00065,China;The University of Tennessee at Knoxville,Knoxville,Tennessee,37996,USA;Chongqing Engineering Research Center of Software Quality Assurance,Testing and Assessment,Chongqing 400065,China)
出处
《软件》
2018年第8期1-4,共4页
Software
基金
重庆市前沿与应用基础研究计划一般项目(批准号:cstc2015jcyj A30001)
重庆市教委科学技术研究项目(批准号:KJ1500421)
重庆邮电大学青年科学研究项目(批准号:A2014-97)
关键词
智能交通
不确定交通流
可视化
大数据
Intelligent transportation
Uncertain traffic flow
Visualization
Big data
