Structural recurrent neural network for traffic speed prediction

Kim, Y., Wang, P. and Mihaylova, L. orcid.org/0000-0001-5856-2223 (2019) Structural recurrent neural network for traffic speed prediction. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2019). IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12-17 May 2019, Brighton, UK. IEEE ISBN 9781479981311

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Item Type: Proceedings Paper
Authors/Creators:
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Keywords: Traffic prediction; recurrent neural network; structural recurrent neural network; spatio-temporal graph
Dates:
  • Published: April 2019
  • Published (online): 17 April 2019
  • Accepted: 3 February 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
European Commission - Horizon 2020
688082
Depositing User: Symplectic Sheffield
Date Deposited: 19 Feb 2019 14:52
Last Modified: 17 Apr 2020 00:38
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: 10.1109/ICASSP.2019.8683670
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