Real-time short-term traffic speed level forecasting and uncertainty quantification using layered Kalman filters

J Guo, BM Williams - Transportation Research Record, 2010 - journals.sagepub.com
Short-term traffic condition forecasting has long been argued as essential for developing
proactive traffic control systems that could alleviate the growing congestion in the United …

Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification Using Layered Kalman Filters

J Guo, BM Williams - 2010 - trid.trb.org
Short-term traffic condition forecasting has long been argued as essential for developing
proactive traffic control systems that could alleviate the growing congestion in the United …

Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification Using Layered Kalman Filters

J Guo, BM Williams - Transportation Research Record: Journal of the …, 2010 - cir.nii.ac.jp
抄録< jats: p> Short-term traffic condition forecasting has long been argued as essential for
developing proactive traffic control systems that could alleviate the growing congestion in …

[引用][C] Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification Using Layered Kalman Filters

J GUO, BM WILLIAMS - Transportation research record, 2010 - pascal-francis.inist.fr
Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification
Using Layered Kalman Filters CNRS Inist Pascal-Francis CNRS Pascal and Francis …

[PDF][PDF] Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification Using Layered Kalman Filters

J Guo, BM Williams - researchgate.net
Short-term traffic condition forecasting has long been argued as essential for developing
proactive traffic control systems that could alleviate the growing congestion in the United …

[引用][C] Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification Using Layered Kalman Filters

J GUO, BM WILLIAMS - Transportation research record, 2010 - National Research Council