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pages 1-26
Efficient calibration of high-dimensional dynamic OD matrix in metropolitan networks: combining dimensionality reduction and bagging-based metamodel
2
School Of Transportation
Publication type: Journal Article
Publication date: 2025-02-27
scimago Q1
wos Q2
SJR: 0.997
CiteScore: 8.6
Impact factor: 3.1
ISSN: 23249935, 23249943
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Transportmetrica A: Transport Science
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3
Total citations:
3
Citations from 2024:
3
(100%)
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GOST
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Peng Chang et al. Efficient calibration of high-dimensional dynamic OD matrix in metropolitan networks: combining dimensionality reduction and bagging-based metamodel // Transportmetrica A: Transport Science. 2025. pp. 1-26.
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Peng Chang, Xu C., Wang C., Tong H., Ren W. Efficient calibration of high-dimensional dynamic OD matrix in metropolitan networks: combining dimensionality reduction and bagging-based metamodel // Transportmetrica A: Transport Science. 2025. pp. 1-26.
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RIS
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TY - JOUR
DO - 10.1080/23249935.2025.2470994
UR - https://www.tandfonline.com/doi/full/10.1080/23249935.2025.2470994
TI - Efficient calibration of high-dimensional dynamic OD matrix in metropolitan networks: combining dimensionality reduction and bagging-based metamodel
T2 - Transportmetrica A: Transport Science
AU - Peng Chang
AU - Xu, Chengcheng
AU - Wang, Changshuai
AU - Tong, Hao
AU - Ren, Weilin
PY - 2025
DA - 2025/02/27
PB - Taylor & Francis
SP - 1-26
SN - 2324-9935
SN - 2324-9943
ER -
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BibTex (up to 50 authors)
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@article{2025_Peng Chang,
author = {Peng Chang and Chengcheng Xu and Changshuai Wang and Hao Tong and Weilin Ren},
title = {Efficient calibration of high-dimensional dynamic OD matrix in metropolitan networks: combining dimensionality reduction and bagging-based metamodel},
journal = {Transportmetrica A: Transport Science},
year = {2025},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/23249935.2025.2470994},
pages = {1--26},
doi = {10.1080/23249935.2025.2470994}
}