Affiliation:
1. Beijing Huak Technology Devolopment Co Ltd., Beijing 10002865292, China
Abstract
For smart city traffic flow prediction in the period of big data and industry 4.0, the prediction accuracy is low, the prediction is difficult, and the prediction effect is different in different geographical locations. This paper proposes a smart city traffic communication forecast based on Industry 4.0 and big data analysis application. Firstly, this paper theoretically explains the application scenario of urban traffic fault text big data and analyzes the characteristics of related problems, especially the fault problems. Secondly, the AC traffic prediction algorithm is studied, and the application analysis of PVHH, IDT, and Ford–Fulkerson algorithms is applied, respectively. Finally, the above three algorithms are used to predict and analyze traffic flow.
Subject
General Engineering,General Mathematics
Reference18 articles.
1. Multiomic big data analysis challenges: increasing confidence in the interpretation of artificial intelligence assessments;M. T. Odenkirk;Analytical Chemistry,2021
2. A self-rating depression scale;W. W. K. Zung;Archives of General Psychiatry,1965
3. Big Data analytics and artificial intelligence in mental healthcare;A. Rosenfeld;Applications of Big Data in Healthcare,2021
4. A broad host mobilization system for in vivo genetic engineering: transposon mutagenesis in Gram-negative bacteria;R. Simon;Bio/Technolgy,1983
5. New geographic distribution and molecular diversity of Citrus chlorotic dwarf-associated virus in China;Y. Zhen;Journal of European Economy,2022
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献