Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

2014 ◽  
Vol 43 ◽  
pp. 50-64 ◽  
Author(s):  
Jianhua Guo ◽  
Wei Huang ◽  
Billy M. Williams
Keyword(s):  
Kalman Filter ◽  
Uncertainty Quantification ◽  
Traffic Flow ◽  
Flow Rate ◽  
Adaptive Kalman Filter ◽  
Short Term ◽  
Rate Prediction ◽  
Filter Approach

Research of Short-Term Traffic Flow Forecast Method Based on the Kalman Filter

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Feng Chen ◽  
Yuanhua Jia ◽  
Wenjuan An ◽  
Na Zhang ◽  
Zhonghai Niu
Keyword(s):  
Kalman Filter ◽  
Traffic Flow ◽  
Forecast Method ◽  
Short Term ◽  
Traffic Flow Forecast ◽  
Flow Forecast

The Application of Adaptive Kalman Filter in Traffic Flow Forecasting

2013 ◽  
Vol 680 ◽  
pp. 495-500 ◽  
Author(s):  
Jun Wei Gao ◽  
Zi Wen Leng ◽  
Bin Zhang ◽  
Xin Liu ◽  
Guo Qiang Cai
Keyword(s):  
Kalman Filter ◽  
Traffic Flow ◽  
Kalman Filtering ◽  
Intelligent Transportation System ◽  
Urban Traffic ◽  
Forecasting Model ◽  
Adaptive Kalman Filter ◽  
Forecasting Accuracy ◽  
Traffic Flow Forecasting ◽  
Noise Covariance

The urban traffic usually has the characteristics of time-variation and nonlinearity, real-time and accurate traffic flow forecasting has become an important component of the Intelligent Transportation System (ITS). The paper gives a brief introduction of the basic theory of Kalman filter, and establishes the traffic flow forecasting model on the basis of the adaptive Kalman filter, while the traditional Kalman filtering model has the shortcomings of lower forecasting accuracy and easily running into filtering divergence. The Sage&Husa adaptive filtering algorithm will appropriately estimate and correct the unknown or uncertain noise covariance, so as to improve the dynamic characteristics of the model. The simulation results demonstrate that the adaptive Kalman filtering forecasting model has stronger tracking capability and higher forecasting precision, which is applicable to the traffic flow forecasting.

A noise-immune Kalman filter for short-term traffic flow forecasting

2019 ◽  
Vol 536 ◽  
pp. 122601 ◽  
Author(s):  
Lingru Cai ◽  
Zhanchang Zhang ◽  
Junjie Yang ◽  
Yidan Yu ◽  
Teng Zhou ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Traffic Flow ◽  
Short Term ◽  
Traffic Flow Forecasting

scholarly journals An adaptive Kalman filter approach for cardiorespiratory signal extraction and fusion of non-contacting sensors

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Jerome Foussier ◽  
Daniel Teichmann ◽  
Jing Jia ◽  
Berno Misgeld ◽  
Steffen Leonhardt
Keyword(s):  
Kalman Filter ◽  
Signal Extraction ◽  
Adaptive Kalman Filter ◽  
Filter Approach
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