Recurrent neural network model for truck traffic flow demand prediction based on GPS trajectory data

doi:10.11860/j.issn.1673-0291.20200117

PDF(5417 KB)

Journal of Beijing Jiaotong University ›› 2021, Vol. 45 ›› Issue (3) : 15. DOI: 10.11860/j.issn.1673-0291.20200117

Recurrent neural network model for truck traffic flow demand prediction based on GPS trajectory data

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2021, 45(3): 15 https://doi.org/10.11860/j.issn.1673-0291.20200117

References

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

References

Funding

RIGHTS & PERMISSIONS

PDF(5417 KB)

Accesses

Citation

Detail

Sections

Recommended

Please choose a citation manager

Content to export

HeighLight

Abstract

Key words

QR code of this article

Cite this article

{{custom_sec.title}}

{{custom_sec.title}}

References

References

{{custom_fnGroup.title_en}}

Footnotes

{{custom_ack.title_en}}

Funding

RIGHTS & PERMISSIONS

Published
2021-06-30
Issue Date
2021-07-15

模态框（Modal）标题

Please choose a citation manager

Content to export

HeighLight

Abstract

Key words

QR code of this article

Cite this article

{{custom_sec.title}}

{{custom_sec.title}}

References

References

{{custom_fnGroup.title_en}}

Footnotes

{{custom_ack.title_en}}

Funding

RIGHTS & PERMISSIONS