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The Freeway Travel Time Estimation Problem
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algorithm applied approach backpropagation Bayesian bias chapter conﬁdence intervals congested conditions data collection system data driven deﬁned deﬁnition Delft denotes density departure time period dissertation thesis dynamic estimated travel example ﬁg ﬁrst ﬁxed free-ﬂow freeway route freeway stretch function harmonic mean Hessian matrix hidden layer hidden neuron Hoogendoom inductive loop inﬂuence input failure instantaneous travel intemal Kalman Levenberg-Marquardt Algorithm loop detectors mean travel measurements missing data model based neuron parameters performance PLSB estimated PLSB method predict travel prediction intervals prediction model prediction problem predictor real-time recurrent neural networks reﬂect relevance RMSEP robust route of interest short term freeway short term travel simulation space mean speed speciﬁc speed variance SSNN model term freeway travel test data set trafﬁc conditions trafﬁc data collection trafﬁc demand trafﬁc ﬂow models trafﬁc information trafﬁc pattems trajectory method Transportation Research travel time distribution travel time estimation travel time prediction uncertainty Washington D.C. weights