A physics-informed machine learning for generalized bathtub model in large-scale urban networks
- DOI
- 10.1016/j.trc.2024.104661
- Published
- 2024-07
- Container
- Transportation Research Part C: Emerging Technologies
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.trc.2024.104661,
title = {A physics-informed machine learning for generalized bathtub model in large-scale urban networks},
author = {Eunhan Ka and Jiawei Xue and Ludovic Leclercq and Satish Ukkusuri},
year = {2024},
journal = {Transportation Research Part C: Emerging Technologies},
doi = {10.1016/j.trc.2024.104661},
url = {https://doi.org/10.1016/j.trc.2024.104661}
}RIS
TY - JOUR TI - A physics-informed machine learning for generalized bathtub model in large-scale urban networks AU - Eunhan Ka AU - Jiawei Xue AU - Ludovic Leclercq AU - Satish Ukkusuri PY - 2024 JO - Transportation Research Part C: Emerging Technologies DO - 10.1016/j.trc.2024.104661 UR - https://doi.org/10.1016/j.trc.2024.104661 ER -
APA
Ka, E., Xue, J., Leclercq, L., & Ukkusuri, S. (2024). A physics-informed machine learning for generalized bathtub model in large-scale urban networks. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2024.104661
Source records
- hal · retrieved 2026-09-25T19:08:03.007Z