摘要
在智慧城市建设日益加快的背景下,公众出行产生的数据量也呈指数性增长,而在爆炸增长的数据量之中,蕴含的是海量的信息,将这些信息从巨量的数据中挖掘出来并进行可视化展示,对于智能交通乃至智慧城市的建设有着十分积极的社会意义.基于北京市的公交车IC卡刷卡数据、公租自行车刷卡数据、地铁客流数据以及部分出租车轨迹数据,依托于Hadoop开源大数据处理平台,利用Java Web的编程框架,辅助以各种可视化工具,构建了交通大数据的可视化Web GIS平台,实现了多源公众出行大数据的可视化分析与展示,为政府职能部门的决策提供参考信息.
In the context of the accelerating construction of smart cities, the amount of data generated by public travel has also grown exponentially. In the lots of data generated , there is a huge amount of information. Data mining and visual display for the big data has a very positive social significance for the construction of intelligent transportation and even smart cities. Based on the swipe data of bus IC card and public rental bicycle IC card , subway passenger flow data and some taxi trajectory data in Beijing, this article relies on the Hadoop open source big data processing platform and uses Java Web programming framework to assist in various visualizations. Tools to build a visual Web GIS platform for traffic big data realize the visual analysis and display of multi source public travel big data, and provide a certain reference for the decision making of government functional departments.
作者
申兆慕
张健钦
王胜开
赵明
Shen Zhaomu;Zhang Jianqin;Wang Shengkai;Zhao Ming(School of Geomatics and Urban Information,Beijing University of Civil Engineering and Architecture,Beijing 100044)
出处
《北京建筑大学学报》
2018年第3期33-41,共9页
Journal of Beijing University of Civil Engineering and Architecture
基金
国家自然科学基金项目(41771413)
国家自然科学基金青年科学基金项目(41701473)
