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Two distinct ways of using kalman filters to predict urban arterial travel time., , , and . ITSC, page 845-850. IEEE, (2006)Importance of spillback modeling in assessing ITS., , and . ITSC, page 909-914. IEEE, (2006)Optimizing the fleet size of a Personal Rapid Transit system: A case study in port of Rotterdam., , , , and . ITSC, page 301-305. IEEE, (2010)Speed and acceleration distributions at a traffic signal analyzed from microscopic real and simulated data., , , , and . ITSC, page 651-656. IEEE, (2008)The Dynamics and the Uncertainty of Queues at Fixed and Actuated Controls: A Probabilistic Approach., and . J. Intellig. Transport. Systems, 13 (1): 39-51 (2009)Trip travel time distribution prediction for urban signalized arterials., and . ITSC, page 1829-1834. IEEE, (2013)Travel Time Variability versus Freeway Characteristics., , and . ITSC, page 383-388. IEEE, (2006)Fast traffic state estimation with the localized Extended Kalman Filter., , , , and . ITSC, page 917-922. IEEE, (2010)Estimation of an Urban OD Matrix Using Different Information Sources., , , , and . ICCSA (2), volume 10405 of Lecture Notes in Computer Science, page 183-198. Springer, (2017)State Space Neural Networks for Freeway Travel Time Prediction., , and . ICANN, volume 2415 of Lecture Notes in Computer Science, page 1043-1048. Springer, (2002)