Forecasting urban traffic congestion conduction based on spatiotemporal association rule mining

ZHOU Huiyu, LI Ruimin, HUANG Anqiang, WANG Qiyan, HE Zefang, WANG Shouyang

Systems Engineering - Theory & Practice ›› 2022, Vol. 42 ›› Issue (8) : 2210-2224.

PDF(1461 KB)
中国科学院数学与系统科学研究院期刊网
PDF(1461 KB)
Systems Engineering - Theory & Practice ›› 2022, Vol. 42 ›› Issue (8) : 2210-2224. DOI: 10.12011/SETP2020-2752

Forecasting urban traffic congestion conduction based on spatiotemporal association rule mining

  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. Systems Engineering - Theory & Practice, 2022, 42(8): 2210-2224 https://doi.org/10.12011/SETP2020-2752

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(1461 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉