Traffic Data Governance: Method and Application
Author:
Affiliation:
1. Zhejiang Expressway Information Engineering Technology Co., Ltd., China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3650215.3650335
Reference10 articles.
1. Tang Yi, LIU Shikun, LIU Heng. 2022. Research on freeway traffic operation characteristics and congestion control strategy based on multi-source data– Taking Shenzhen Machine-Dutch Expressway as an example [J]. Traffic management, 2022 (U491), 1671-3400 (2022) 07-0132-07:132-138.
2. Fang Luo Zhaobin Li Zuohao Chen. 2022. Intelligent Highway Operation Management System based on Big Data Analysis [J]. China ITS Journal No.273(08):30-34+111. DOI: 10.13439/j.cnki.itsc.2022.08.002.
3. Yi Tang. 2020. Current Situation Pain Points and Thinking of Highway Big Data Construction and Application [J]. China ITSJournal. No.244(06): 18-23. DOI: 10.13439/j.cnki.itsc.2020.06.001.
4. Data Governance Regimes in the Digital Economy: The Example of Connected Cars
5. Liu Yu, Li Lin, Lu Fang, 2023. Research on key technologies of rail transit "four networks Integration" data governance [J]. Computer application, Vol.32 No.6:82-86.
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