Fetching the paper…
Reading the bibliography…
Traffic prediction constitutes a pivotal facet within the purview of Intelligent Transportation Systems (ITS), and the attainment of highly precise predictions holds profound significance for efficacious traffic management.
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel, “Backpropagation applied to handwritten zip code recognition,”
1989
Earlier work this paper cites.
J. L. Elman, “Distributed representations, simple recurrent networks, and grammatical structure,”
1991
Earlier work this paper cites.
M. M. Hamed, H. R. Al-Masaeid, and Z. M. B. Said, “Short-term prediction of traffic volume in urban arterials,”
1995
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,”
1997
Earlier work this paper cites.
C. Chen, K. Petty, A. Skabardonis, P. Varaiya, and Z. Jia, “Freeway performance measurement system: mining loop detector data,”
2001
Earlier work this paper cites.
A. Ding, X. Zhao, and L. Jiao, “Traffic flow time series prediction based on statistics learning theory,” in
2002
Earlier work this paper cites.
2013
Earlier work this paper cites.
Z. Zheng and D. Su, “Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm,”
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,”
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
A. Radford, K. Narasimhan, T. Salimans, I. Sutskever
2018
Earlier work this paper cites.
2018
Cited alongside, same era.
N. Houlsby, A. Giurgiu, S. Jastrzebski, B. Morrone, Q. De Laroussilhe, A. Gesmundo, M. Attariyan, and S. Gelly, “Parameter-efficient transfer learning for nlp,” in
2019
Cited alongside, same era.
S. Guo, Y. Lin, N. Feng, C. Song, and H. Wan, “Attention based spatial-temporal graph convolutional networks for traffic flow forecasting,” in
2019
Cited alongside, same era.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever
2019
Cited alongside, same era.
F. Emmert-Streib, Z. Yang, H. Feng, S. Tripathi, and M. Dehmer, “An introductory review of deep learning for prediction models with big data,”
2020
Cited alongside, same era.
2021
Later among the works it cites.
C. Zhao, K. Wang, X. Dong, and K. Dong, “Is smart transportation associated with reduced carbon emissions? the case of china,”
2022
Later among the works it cites.
W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong
2023
Later among the works it cites.
2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell
2020
Cited alongside, same era.
C. Song, Y. Lin, S. Guo, and H. Wan, “Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting,” in
2020
Cited alongside, same era.
X. Yin, G. Wu, J. Wei, Y. Shen, H. Qi, and B. Yin, “Deep learning on traffic prediction: Methods, analysis, and future directions,”
2021
Cited alongside, same era.
P. Cao, F. Dai, G. Liu, J. Yang, and B. Huang, “A survey of traffic prediction based on deep neural network: Data, methods and challenges,” in
2021
Cited alongside, same era.
H. Yuan and G. Li, “A survey of traffic prediction: from spatio-temporal data to intelligent transportation,”
2021
Cited alongside, same era.
2021
Cited alongside, same era.
E. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, and W. Chen, “Low-rank adaptation of large language models,”
2021
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
T. Zhou, P. Niu, L. Sun, R. Jin
2024
Closest in time.
2024
Closest in time.