Traffic Flow Forecasting Research Based on Delay Reconstruction and GRU-SVR

Author:

Lei Yuhang1ORCID,Lei Jingsheng2ORCID,Wang Weifei1ORCID

Affiliation:

1. Shanghai University of Electric Power, China

2. Zhejiang Institute of Science and Technology, China

Publisher

ACM

Reference14 articles.

1. Martin Dlask Jaromir Kukal. Hurst exponent estimation from short time series[J]. Signal Image and Video Processing 2019 13(2): Martin Dlask Jaromir Kukal. Hurst exponent estimation from short time series[J]. Signal Image and Video Processing 2019 13(2):

2. Box G E P , Jenkins G M . Time series analysis : forecasting and control[J]. Journal of Time , 2010 , 31 ( 3 ). Box G E P , Jenkins G M . Time series analysis : forecasting and control[J]. Journal of Time, 2010, 31(3).

3. Kavasseri R Seetharaman K. Day-ahead wind speed forecasting using f-ARIMA models. Renew Energy 2009;34:1388–93 Kavasseri R Seetharaman K. Day-ahead wind speed forecasting using f-ARIMA models. Renew Energy 2009;34:1388–93

4. Algorithms; New Algorithms Study Findings Recently Were Reported by Researchers at Jiangnan University (Study on network traffic forecast model of SVR optimized by GAFSA)[J]. News of Science 2016: Algorithms; New Algorithms Study Findings Recently Were Reported by Researchers at Jiangnan University (Study on network traffic forecast model of SVR optimized by GAFSA)[J]. News of Science 2016:

5. Carl Goves Robin North Ryan Johnston Graham Fletcher. Short Term Traffic Prediction on the UK Motorway Network Using Neural Networks[J]. Carl Goves Robin North Ryan Johnston Graham Fletcher. Short Term Traffic Prediction on the UK Motorway Network Using Neural Networks[J].

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