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Dynamic Data-driven Microscopic Traffic Simulation using Jointly Trained Physics-guided LSTM

This repostiory contains both the original manuscript and supplementary materials of our paper, "Dynamic Data-driven Microscopic Traffic Simulation using Jointly Trained Physics-guided LSTM", which has been published in the journal, Transactions on Modeling and Computer Simulation (TOMACS) under Association of Computing Machinery (ACM).

Official Link: https://dl.acm.org/doi/abs/10.1145/3558555

If you are using or referring to any of the contents present in this supplementary document, please kindly consider citing our paper as below. Thank you for your consideration.

@article{naing2022dynamic,
  title={Dynamic Data-driven Microscopic Traffic Simulation using Jointly Trained Physics-guided Long Short-term Memory},
  author={Naing, Htet and Cai, Wentong and Nan, Hu and Tiantian, Wu and Liang, Yu},
  journal={ACM Transactions on Modeling and Computer Simulation (TOMACS)},
  year={2022},
  publisher={ACM New York, NY}
}

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