交通运输大数据应用进展

doi:10.3981/j.issn.1000-7857.2019.06.009

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摘要随着交通运输服务与管理信息化、智能化的发展，行业内集中了大量丰富的数据资源。分析了交通运输大数据的特点、类型及数据量，简述了综合交通出行大数据开放云平台的构架、功能和应用效果。通过研究交通运输大数据在交通拥堵治理、高速公路智能稽查、客流统计及民航空管等方面的应用案例，指出交通运输大数据发展及应用趋势混杂性更强，分析处理结果可能会有相互矛盾的情况，随着数据量的增加，不精确性对整个分析结论的影响力变小；当数据量扩大后，简单算法可能更加实用等。

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	杨琪
	刘冬梅

关键词 ：交通运输, 大数据, 开放云平台

Abstract：With the wide applications of information and intelligence in transportation services and management, large and rich data resources are accumulated in the industry. This paper analyzes the characteristics, the types and the data volume of the transportation big data, and briefly describes the structure, the function and the application of the integrated traffic travel big data open cloud platform, and analyzes application cases in several aspects, such as the traffic big data in the traffic congestion control, the highway intelligent inspection, the passenger flow statistics and the civil aviation management. Finally, it is suggested that the transportation data are very hybrid in nature, and the processing results may involve contradictory conclusions. As the data amount increases, the influence of inaccuracy on the whole analysis conclusion becomes smaller. When the data volume is expanded, simple algorithms may be more practical.

Key words： transportation big data open cloud platform

收稿日期: 2017-09-18

作者简介: 杨琪,研究员,研究方向为智能运输系统,电子信箱:yangqi@itsc.cn

引用本文:

杨琪, 刘冬梅. 交通运输大数据应用进展[J]. 科技导报, 2019, 37(6): 66-72.
YANG Qi, LIU Dongmei. Application of big data of transportation. Science & Technology Review, 2019, 37(6): 66-72.

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http://www.kjdb.org/CN/10.3981/j.issn.1000-7857.2019.06.009 或 http://www.kjdb.org/CN/Y2019/V37/I6/66

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