A novel framework for detecting non-recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector

Zhewei Liang, Jingyi Wang, Shuliang Ren, Yin Yu, Qingfeng Guan 0001. A novel framework for detecting non-recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector. T. GIS, 27(1):239-259, February 2023. [doi]

@article{LiangWRYG23,
  title = {A novel framework for detecting non-recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector},
  author = {Zhewei Liang and Jingyi Wang and Shuliang Ren and Yin Yu and Qingfeng Guan 0001},
  year = {2023},
  month = {February},
  doi = {10.1111/tgis.13022},
  url = {https://doi.org/10.1111/tgis.13022},
  researchr = {https://researchr.org/publication/LiangWRYG23},
  cites = {0},
  citedby = {0},
  journal = {T. GIS},
  volume = {27},
  number = {1},
  pages = {239-259},
}