Corpus ID: 210473164

Dynamic Spatial-Temporal Representation Leaning for Crowd Flow Prediction

@inproceedings{Liu2019DynamicSR,
  title={Dynamic Spatial-Temporal Representation Leaning for Crowd Flow Prediction},
  author={Lingbo Liu and Jiajie Zhen and Guanbin Li and Geng Zhan and Liang Lin},
  year={2019}
}
  • Lingbo Liu, Jiajie Zhen, +2 authors Liang Lin
  • Published 2019
  • Computer Science, Mathematics
  • As a crucial component in intelligent transportation systems, crowd flow prediction has recently attracted widespread research interest in the field of artificial intelligence (AI) with the increasing availability of large-scale traffic mobility data. Its key challenge lies in how to integrate diverse factors (such as temporal laws and spatial dependencies) to infer the evolution trend of crowd flow. To address this problem, we propose a unified neural network called Attentive Crowd Flow… CONTINUE READING

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