摘要
20世纪80年代上海市已经开始建设智能交通系统,开展交通数据采集工作。历经2010年世博会,上海市交通信息化快速发展,交通大数据的种类越来越多,为基于大数据挖掘的综合交通调查与分析提供了良好的基础条件。基于2014年上海市第五次综合交通调查结果,综述上海市交通大数据资源现状和基于大数据的城市综合交通特征挖掘分析技术方法及主要成果。提出进一步拓展运用大数据分析城市综合交通特征的应用领域、优化大数据挖掘技术方法和完善大数据采集处理机制的相关建议。
Since 1980 s, Shanghai has begun building ITS system and collecting traffic data. Taking the2010 World Expo as a good opportunity, Shanghai experiences a rapid traffic informatization process in which a wide variety of data resources turns to be available. This new trend provides a reliable base of using big data mining technology to conduct transportation survey and analysis. Consequently, the 5th Shanghai comprehensive transportation survey has summarized Shanghai transportation big data resource panels,in the meantime, it demonstrated big data mining-based technology to explore transportation system characteristics as well as highlighting some main findings. This study also suggests a couple of critical solutions associated with this new technology that are： 1） how to extend more potential applications, 2） how to optimize existing methodology, and 3） how to improve data collection mechanism.
出处
《城市交通》
北大核心
2016年第1期24-29,23,共7页
Urban Transport of China
关键词
综合交通
大数据
交通调查
技术方法
上海市
comprehensive transportation
big data
transportation survey
technology
Shanghai
