Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation

Yan Li 0049, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar. Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. In Shashi Shekhar, Zhi-Hua Zhou, Yao-Yi Chiang, Gregor Stiglic, editors, Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. pages 838-846, SIAM, 2023. [doi]

@inproceedings{0049YEFXNS23,
  title = {Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation},
  author = {Yan Li 0049 and Mingzhou Yang and Matthew Eagon and Majid Farhadloo and Yiqun Xie and William F. Northrop and Shashi Shekhar},
  year = {2023},
  doi = {10.1137/1.9781611977653.ch94},
  url = {https://doi.org/10.1137/1.9781611977653.ch94},
  researchr = {https://researchr.org/publication/0049YEFXNS23},
  cites = {0},
  citedby = {0},
  pages = {838-846},
  booktitle = {Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023},
  editor = {Shashi Shekhar and Zhi-Hua Zhou and Yao-Yi Chiang and Gregor Stiglic},
  publisher = {SIAM},
  isbn = {978-1-61197-765-3},
}