δ -agree AdaBoost stacked autoencoder for short-term traffic flow forecasting

Author:

Zhou Teng,Han Guoqiang,Xu Xuemiao,Lin Zhizhe,Han Chu,Huang Yuchang,Qin Jing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference57 articles.

1. A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model;Zhang;Transp. Res. Part C: Emerg. Technol.,2014

2. A review of travel time estimation and forecasting for advanced traveller information systems;Mori;Transportmetrica A: Transp. Sci.,2015

3. Improved estimation of traffic flow for real-time control (discussion and closure);Stephanedes;Transp. Res. Rec.,1981

4. Short-term traffic volume forecasting using Kalman filter with discrete wavelet decomposition;Xie;Comput. Aided Civil Infrastruct. Eng.,2007

5. Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification;Guo;Transp. Res. Part C: Emerg. Technol.,2014

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