Art
J-GLOBAL ID:202102255968024505   Reference number:21A0587165

A Review of Traffic Congestion Prediction Using Artificial Intelligence

人工知能を用いた交通渋滞予測のレビュー【JST・京大機械翻訳】
Author (2):
Material:
Volume: 2021  Page: Null  Publication year: 2021 
JST Material Number: D0581A  ISSN: 0197-6729  Document type: Article
Article type: 文献レビュー  Country of issue: United Kingdom (GBR)  Language: ENGLISH (EN)
Abstract/Point:
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In recent years, traffic conge...
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On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

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Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2):
JST classification
Category name(code) classified by JST.
Numerical computation  ,  Traffic surveies 
Reference (97):
  • Z. Shi, Advanced Artificial Intelligence, World Scientific, Singapore, 2011.
  • M. S. Ali, M. Adnan, S. M. Noman, S. F. A. Baqueri, "Estimation of traffic congestion cost-A case study of a major arterial in karachi," Procedia Engineering, vol. 77, pp. 37-44, 2014.
  • W. Cao, J. Wang, "Research on traffic flow congestion based on Mamdani fuzzy system," AIP Conference Proceedings, vol. 2073, 2019.
  • X. Kong, Z. Xu, G. Shen, J. Wang, Q. Yang, B. Zhang, "Urban traffic congestion estimation and prediction based on floating car trajectory data," Future Generation Computer Systems, vol. 61, pp. 97-107, 2016.
  • Q. Yang, J. Wang, X. Song, X. Kong, Z. Xu, B. Zhang, "Urban traffic congestion prediction using floating car trajectory data," Proceedings of the International Conference on Algorithms and Architectures for Parallel Processing, pp. 18-30, Springer, Zhangjiajie, China, November 2015.
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