Construction of personalized bus travel time prediction intervals based on hierarchical clustering and the bootstrap method

HIGHLIGHTS

  • who: Zhenzhong Yin and Bin Zhang from the School of Computer Science and Engineering, Northeastern University, Shenyang, China have published the research work: Construction of Personalized Bus Travel Time Prediction Intervals Based on Hierarchical Clustering and the Bootstrap Method, in the Journal: Electronics 2023, 12, x FOR PEER REVIEW of 14/04/2023
  • what: Most of the research mentioned above is focused on improving point prediction models. forest The main of thelearning traditional pointhave prediction model is filter , random , disadvantage and other machine models, been proposed. that it cannot uncertainty of the prediction result and . . .

     

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