You're currently viewing an old version of this dataset. To see the current version, click here.

METR-LA

Urban traffic speed prediction aims to estimate the future traffic speed for improving urban transportation services. The proposed framework is a generic wrapper-style solution to enhance the current GNN-based methods by integrating cross-scale topology-free patterns.

Data and Resources

Cite this as

Haoyang Yan, Xiaolei Ma (2024). Dataset: METR-LA. https://doi.org/10.57702/fkv1k5ei

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2302.09746
Citation
  • https://doi.org/10.48550/arXiv.2109.05225
  • https://doi.org/10.48550/arXiv.2307.05517
Author Haoyang Yan
More Authors
Xiaolei Ma
Homepage https://doi.org/10.1016/j.tris.2012.09.002