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IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence
  Car-Following Trajectory Prediction

IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction

20 October 2022
Yilin Wang
Yiheng Feng
ArXivPDFHTML

Papers citing "IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction"

3 / 3 papers shown
Title
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle
  Trajectory Prediction
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction
Keke Long
Zihao Sheng
Haotian Shi
Xiaopeng Li
Sikai Chen
Sue Ahn
21
5
0
26 Sep 2023
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian
  Process: A New Insight into Machine Learning Applications
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
16
94
0
06 Feb 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,740
0
26 Sep 2016
1