Short-Term Interval Prediction of Traffic Flow Based on SVR-Copula Algorithm
To obtain more comprehensive prediction information,This paper proposes an interval prediction method of ultra short term passenger flow based on support vector regression Copula algorithm,and then deduces the prediction intervals under dif-ferent confidence levels. Finally,a case study is conducted on Shenzhen Metro Line 1 to validate the effectiveness.
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