Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks-Reference-Cited by-同舟云学术

Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks

Published:2021-10 Issue: Volume:577 Page:852-870
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ali Ahmad,Zhu Yanmin,Zakarya Muhammad

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

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4. Deep spatio-temporal residual networks for citywide crowd flows prediction;Zhang,2017

5. Travel time estimation of a path using sparse trajectories;Wang,2014

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