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Frontier application of big data for China to build strong transportation network
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Science & Technology Review | 2020, 38(9) : 39 - 46
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Science & Technology Review | 2020, 38(9): 39-46
Exclusive: Building China's Powerful Transportation
Frontier application of big data for China to build strong transportation network
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HU Qingyong1, LI Ganshan2, PEI Zhongzhe3
Affiliations
    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
Published: 2020-05-13 doi: 10.3981/j.issn.1000-7857.2020.09.006
Outline
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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.
a country with strong transportation network  /  cyber-physical systems (CPS)  /  situation awareness (SA) system  /  dynamic ontology  /  transportation knowledge graph  /  edge computing
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
Year 2020 volume 38 Issue 9
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Article Info
doi: 10.3981/j.issn.1000-7857.2020.09.006
  • Receive Date:2020-03-29
  • Online Date:2020-06-05
  • Published:2020-05-13
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  • Received:2020-03-29
  • Revised:2020-04-24
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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