Traffic flow prediction methods based on deep learning

HIGHLIGHTS

• What: Due to the integration of multiple networks, this model has a high computational complexity and often deals with a significant amount of irrelevant information during the learning process, leading to increased consumption of computational resources.
• Who: Haoxuan, Yang and Yang, Zhang from the School of Intelligent Transportation Engineering, Beijing Jiaotong University, Beijing, China have published the Article: Traffic Flow Prediction Methods Based on Deep Learning, in the Journal: (JOURNAL)
• How: The results showed that RNN had a good effect on traffic flow prediction for specific roads and could achieve short-term prediction . . .
  

   

  

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