A Sample-Rebalanced Outlier-Rejected k -Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting

Short-term traffic flow forecasting is a fundamental and challenging task due to the stochastic dynamics of the traffic flow, which is often imbalanced and noisy. This paper presents a sample-rebalanced and outlier-rejected k-nearest neighbor regression model for short-term traffic flow forecasting....

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE access 2020, Vol.8, p.22686-22696
Hauptverfasser:	Cai, Lingru, Yu, Yidan, Zhang, Shuangyi, Song, Youyi, Xiong, Zhi, Zhou, Teng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Euclidean distance Forecasting Intelligent transportation systems Predictive models road transportation stochastic processes Task analysis time series analysis Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!