Exclusive: Building China's Powerful Transportation

Frontier application of big data for China to build strong transportation network

  • HU Qingyong ,
  • LI Ganshan ,
  • PEI Zhongzhe
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  • 1. Institute for Data Science, Tsinghua University, Beijing 100084, China;
    2. Institute of Road Traffic Management Science and Technology of Yunnan Province, Kunming 650011, China;
    3. Netcommander(Beijing) Technology Limited Corporation, Beijing 100101, China

Received date: 2020-03-29

  Revised date: 2020-04-24

  Online published: 2020-06-05

Abstract

In order to effectively achieve the goal of building China into a country with strong transportation network, this paper explores the role of big data technology, its application methods, and prospects in the fields of transportation management, traffic safety, traffic information service, transportation planning, and public transportation. Some cutting-edge technologies, such as situation awareness(SA) system based on CPS, multimodal transportation knowledge graph(KG) based on dynamic ontology, and intelligent video recognition based on edge computing and deep learning, are covered. The overall big data engineering framework and implementation methods are also analyzed, and relevant application scenarios are provided.

Cite this article

HU Qingyong , LI Ganshan , PEI Zhongzhe . Frontier application of big data for China to build strong transportation network[J]. Science & Technology Review, 2020 , 38(9) : 39 -46 . DOI: 10.3981/j.issn.1000-7857.2020.09.006

References

[1] 傅志寰, 孙永福. 交通强国战略研究:第2卷[M]. 北京:人民交通出版社, 2019:260-262.
[2] 武治发. 大数据在智能交通建设中的应用[J]. 电子技术与软件工程, 2017, 13:186-187.
[3] 肖自乾, 陈经优, 符石. 大数据背景下智能交通系统发展综述[J]. 软件导刊, 2017(1):182-184.
[4] 亓秀昌, 孙峰. 大数据技术在智能交通中的应用分析[J]. 智能城市, 2017, (7):108.
[5] 彭晨伟, 巴继东. 基于交通大数据的智能信息服务平台. 计算机系统应用[J]. 2017, 26(7):97-103.
[6] 王璐. 大数据在交通管理行业的应用分析[J]. 经济视野, 2017(7):21-21.
[7] 曹宗然. 大数据在智能交通系统中的应用分析. 建筑与装饰[J]. 2017(2):117-119.
[8] 中国信息物理系统发展论坛. 信息物理系统白皮书(2017)[M]. 北京:中国电子技术标准化研究院, 2017:4-5.
[9] 中国电子技术标准化研究院. 知识图谱标准化白皮书(2019版)[M]. 2017:1-6.
[10] 阿里云计算有限公司, 中国电子技术标准化研究院. 边缘云计算技术及标准化白皮书(2018)[M]. 2018:1-7.
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