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Research on Intelligent Transportation Platform Based on Big Data Technology

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12511))

Abstract

This paper focuses on the personnel education in intelligent transportation, aiming at the problems of high communication cost, poor coherence and unsatisfactory effect in the daily education and training of highway management departments. A mobile education platform providing data management and analysis is developed for 4 main fields as lean safety, rules and regulations, knowledge and experience and ideology. Since the platform was launched in September 2016, the practice has proved that the daily education of the management office has broken through the limitation of time and space, and has the characters of relevance, mutual assistance and sharing, timeliness and strong plastic effect, which has effectively improved the comprehensive quality of the whole staffs.

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Acknowledgement

This work is supported by S&T Program of Hebei (Grant No. 18210109D, 20310802D, 20551801K); High-level Talents Subsidy Project in Hebei Province (Grant No. A2016002015); Technological Innovation Fund Project of Technological Small and Medium-sized Enterprises of Shijiazhuang (Grant No. 19SCX01006); Science and technology research and development Program of Shijiazhuang (Grant No. 191130591A); 2014 Science and Technology Planning Project of Hebei Provincial Department of Transportation - Research on the Key Technologies of the Engineering Project Construction Management Platform Based on Mobile Internet (Grant No. Y2014025); Science and Technology Plan Project Of Chengde To Zhangjiakou Highway Chengde Period (Grant No. CZC-2014KY-1).

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Correspondence to Liu Bin or Liu Yu .

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Bin, L. et al. (2021). Research on Intelligent Transportation Platform Based on Big Data Technology. In: Pang, C., et al. Learning Technologies and Systems. SETE ICWL 2020 2020. Lecture Notes in Computer Science(), vol 12511. Springer, Cham. https://doi.org/10.1007/978-3-030-66906-5_22

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  • DOI: https://doi.org/10.1007/978-3-030-66906-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66905-8

  • Online ISBN: 978-3-030-66906-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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