Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach

Keshuang Tang; Yumin Cao; Can Chen; Jiarong Yao; Chaopeng Tan; Jian Sun

doi:10.1111/mice.12559

journal article Open Access Jan 01, 2021

Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach

Keshuang Tang

Yumin Cao Can Chen

Jiarong Yao Chaopeng Tan Jian Sun

Computer-Aided Civil and Infrastructure Engineering Vol. 36 No. 1 pp. 30-46 · Elsevier BV

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References

Details

Published: Jan 01, 2021
Vol/Issue: 36(1)
Pages: 30-46
License: View

Authors

Southeast University

Funding

National Natural Science Foundation of China Award: 61673302

National Basic Research Program of China Award: 2018YFB16005

Cite This Article

Keshuang Tang, Yumin Cao, Can Chen, et al. (2021). Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach. Computer-Aided Civil and Infrastructure Engineering, 36(1), 30-46. https://doi.org/10.1111/mice.12559

Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach

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