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Total least squares (TLS) technique is introduced to dynamically identify intersection traffic flow patterns when both of the observations for entering and exiting vehicles have random measurement errors. An algorithm of dynamic TLS estimations of intersection traffic flow patterns is proposed. Simulation experiments show that it can improve estimation accuracy substantially in comparison with recursive...
Bias-corrected approximate 100(1-α)% pointwise and simultaneous confidence and prediction intervals for least squares support vector machines are proposed. A simple way of determining the bias without estimating higher order derivatives is formulated. A variance estimator is developed that works well in the homoscedastic and heteroscedastic case. In order to produce simultaneous confidence intervals,...
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