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This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.

License: MIT License

Python 100.00%
generative-inference graph-neural-networks spatio-temporal-attention tensorflow traffic-flow-prediction deep-learning multi-task-learning physical-modeling spatial-attention temporal-attention

traffic-flow-prediction's Introduction

  • 👋 Hi, I’m @zouguojian
  • 🧑‍🎓 Research Interests: Machine Learning, Deep Learning, Intelligent Transportation Systems (Traffic Data Analysis, Traffic Flow Forecasting, Traffic Demand Analysis, Travel Time Estimation, Travel Control, etc), Nature Language Processing, Knowledge Graph Embedding, and Data analysis
  • 🌱 I’m currently learning Traffic Accident Risk and Graph Neural Networks
  • 💞️ I’m looking to collaborate on Intelligent Transportation Systems
  • 🧑‍🎓 ResearchGate: https://www.researchgate.net/profile/Guojian-Zou
  • 📑 Google Scholarship: https://scholar.google.com/citations?hl=en&user=vFFaLTIAAAAJ&view_op=list_works

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