Effect of Time Intervals on K-nearest Neighbors Model for Short-term Traffic Flow Prediction

Effect of Time Intervals on K-nearest Neighbors Model for Short-term Traffic Flow Prediction

The accuracy and reliability in predicting short-term traffic flow is important. The K-nearest neighbors (K-NN) approach has been widely used as a nonparametric model for traffic flow prediction. However, the reliability of the K-NN model results is unknown and the uncertainty of traffic flow point...

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Bibliographic Details
Main Authors: Zhao Liu, Xiao Qin, Wei Huang, Xuanbing Zhu, Yun Wei, Jinde Cao, Jianhua Guo
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2019-03-01
Series:Promet (Zagreb)
Subjects:
short-term traffic flow forecasting
point prediction
prediction interval
K-nearest neighbors
seasonal autoregressive integrated moving average (SARIMA)
generalized autoregressive conditional heteroscedasticity (GARCH)
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/2811

Internet

https://traffic.fpz.hr/index.php/PROMTT/article/view/2811

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