Short-term traffic flow prediction based on cnn-bilstm with multicomponent information

HIGHLIGHTS

• who: Weiqing Zhuang and Yongbo Cao from the School of Internet Economics and Business, Fujian University of Technology, Fuzhou, China have published the research: Short-Term Traffic Flow Prediction Based on CNN-BILSTM with Multicomponent Information, in the Journal: (JOURNAL) of July/31,/2021
• what: Managerial implications: the study provides useful insights into predicting the on highways and will improve the management of optimization. The authors propose a CNN-BILSTM hybrid model for predicting traffic flow by extracting the spatial features via CNN and the temporal features via the BILSTM model. The main research purpose . . .
  

   

  

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