论文信息 - Nonparametric regression for the short-term traffic flow forecasting

Nonparametric regression for the short-term traffic flow forecasting

This paper uses the K-NN based nonparametric regression to forecast the short term traffic flow, applies the prediction interval calculated by K to forecast during unconventional road condition, and improves the forecasting results. Finally, nonparametric regression's advantages of high accuracy and strong transplant ability are showed while being compared with neural network.

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