Corpus ID: 210472650

Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction

@article{Chen2020PhysicalVirtualCG,
  title={Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction},
  author={Jingwen Chen and Lingbo Liu and Hefeng Wu and Jiajie Zhen and Guanbin Li and Liang Lin},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.04889}
}
  • Jingwen Chen, Lingbo Liu, +3 authors Liang Lin
  • Published in ArXiv 2020
  • Computer Science, Mathematics
  • Due to the widespread applications in real-world scenarios, metro ridership prediction is a crucial but challenging task in intelligent transportation systems. However, conventional methods that either ignored the topological information of metro systems or directly learned on physical topology, can not fully explore the ridership evolution patterns. To address this problem, we model a metro system as graphs with various topologies and propose a unified Physical-Virtual Collaboration Graph… CONTINUE READING

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