• Van Lint, J. W. C., H. J. Van Zuylen, et al. (2008). "Travel time unreliability on freeways: Why measures based on variance tell only half the story." Transportation Research Part A: Policy and Practice 42(1): 258-277.
• Van Lint, J. W. C. (2008). "Online learning solutions for freeway travel time prediction." IEEE Transactions in Intelligent Transportation Systems 9(1): 38-47.
• van Hinsbergen, C. and J. van Lint (2008). "Bayesian Combination of Travel Time Prediction Models." Transportation Research Record: Journal of the Transportation Research Board 2064(-1): 73-80.
• Ou, Q., J. van Lint, et al. (2008). "Piecewise Inverse Speed Correction by Using Individual Travel Times." Transportation Research Record: Journal of the Transportation Research Board 2049(-1): 92-102.
• Bogers, E., H. Van Lint, et al. (2008). "Reliability of Travel Time: Effective Measures from a Behavioral Point of View." Transportation Research Record: Journal of the Transportation Research Board 2082(-1): 27-34.
• Tu, H., J. van Lint, et al. (2007). "Impact of Traffic Flow on Travel Time Variability of Freeway Corridors." Transportation Research Record: Journal of the Transportation Research Board 1993(-1): 59-66.
• Van Lint, J. C. (2006). "Reliable real-time framework for short-term freeway travel time prediction." Journal of Transportation Engineering 132(12): 921-932.
• Liu, H., H. van Zuylen, et al. (2006). "Predicting Urban Arterial Travel Time with State-Space Neural Networks and Kalman Filters." Transportation Research Record: Journal of the Transportation Research Board 1968(-1): 99-108.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2005). "Accurate Travel time Prediction with State-Space Neural Networks under Missing Data." Transportation Research Part C: Emerging Technologies 13(5-6): 347-369
• van Lint, J. and H. van Zuylen (2005). "Monitoring and Predicting Freeway Travel Time Reliability: Using Width and Skew of Day-to-Day Travel Time Distribution." Transportation Research Record: Journal of the Transportation Research Board 1917(-1): 54-62.
• Ngoduy, D., S. Hoogendoorn, et al. (2005). "Modeling Traffic Flow Operation in Multilane and Multiclass Urban Networks." Transportation Research Record: Journal of the Transportation Research Board 1923(-1): 73-81.
• van Lint, J. and N. van der Zijpp (2003). "Improving a Travel-Time Estimation Algorithm by Using Dual Loop Detectors." Transportation Research Record: Journal of the Transportation Research Board 1855(-1): 41-48.
• van Lint, J., S. Hoogendoorn, et al. (2002). "Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks." Transportation Research Record: Journal of the Transportation Research Board 1811(-1): 30-39.

[last update: January, 2009]

• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2008). Fastlane:  New Multiclass First-Order Traffic Flow Model. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2008). Dual EKF State and Parameter Estimation in Multi-Class First-Order Traffic Flow Models. Proceedings of the 17th IFAC (International Federation of Automatic Control) World Congress Seoul, Korea.
• Van Hinsbergen, C. P. I. J. and J. W. C. Van Lint (2008). Bayesian Combination of Travel Time Prediction Models. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Tu, H., J. W. C. Van Lint, et al. (2008). Travel time reliability model on freeways. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Ou, Q., J. W. C. Van Lint, et al. (2008). Piecewise Inverse Speed Correction by Using Individual Travel Times. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Hoogendoorn, S. P., J. W. C. Van Lint, et al. (2008). First-Order Theory Revisited: Stochastic First-Order Modeling Including Realistic Phase Transitions. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Bogers, E. A. I., J. W. C. Van Lint, et al. (2008). Travel time reliability: effective measures from a behavioral point of view. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Van Lint, J. W. C., L. Van de Ven, et al. (2007). De effecten van weer op verkeer – wat weten we al en wat betekent dat voor DVM? Symposium Dynamisch Verkeersmanagement, Rotterdam, ANWB.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2007). Multi-class first order traffic flow modeling. Traffic and Granular Flow '07 Paris-Sud University, Orsay Springer.
• Van Lint, J. W. C. and S. P. Hoogendoorn (2007). The technical and economic benefits of data fusion for real-time monitoring of freeway traffic. World Congress of Transportation Research, Berkely, CA, USA, WCTRS.
• Liu, H., H. J. van Zuylen, et al. (2007). Neural Network Based Traffic Flow Model for Urban Arterial Travel Time Prediction. Transportation Research Board Annual Meeting, CD Rom, Washington DC, National Academies Press.
• Hoogendoorn, S. P., J. W. C. van Lint, et al. (2007). Dynamic first-order modeling of phase-transition probabilities. Traffic and Granular Flow '07, Paris-Sud University, Orsay, Springer.
• Hoogendoorn, S. P., S. J. L. Ossen, et al. (2007). Advanced Calibration of Car-following Models. World Congress of Transportation Research, Berkely, CA, USA, WCTRS.
• Zuurbier, F. S., J. W. C. Van Lint, et al. (2006). Comparison study of decentralized feedback strategies for route guidance purposes. TRAIL Congress, Delft, TRAIL Research School.
• Zuurbier, F. S. and J. W. C. Van Lint (2006). Traffic network state estimation using extended Kalman filtering and DSMART. Proceedings of the 16th IFAC World Congress, Delft, IFAC.
• Van Lint, J. W. C. and M. Schreuder (2006). Travel time prediction for VMS panels - Results and lessons learnt from a large-scale evaluation study in the Netherlands. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Van Lint, J. W. C. and M. Schreuder (2006). Travel time prediction for VMS panels : results and lessons learnt from a large-scale evaluation study in the Netherlands. Transportation Research Board Annual Meeting, CD Rom, Washington DC, National Academies Press.
• van Lint, J. W. C. and T. Dijker (2006). Practical methods for estimating freeway speed variance from inductive loops, submitted for presentation and publication. Transportation Research Board Annual Meeting, CD-Rom, Washington D.C., USA, National Academies Press.
• Van Lint, J. W. C. (2006). An online learning solution for data driven freeway travel time prediction models. Mini Euro / European Working Group on Transportation Meeting, Bari, Italy, EURO.
• Van Lint, J. W. C. (2006). Incremental and online learning through extended Kalman filtering with constraint weights for freeway travel time prediction. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Toronto, ON, IEEE.
• Tu, H., H. Van Zuylen, et al. (2006). Real time modelling travel time reliability using cell transmission model. Proceedings of the Conference on Traffic and Transportation Studies, ICTTS, Xi'an.
• Tu, H., J. W. C. Van Lint, et al. (2006). Empirical investigation to the causes of travel time unreliability on motorway corridors. Proceedings of the 16th IFAC World Congress, Delft, TU Delft.
• Tu, H., J. W. C. Van Lint, et al. (2006). The impacts of freeway characteristics on travel time variability. Proceedings of the 16th IFAC World Congress, Delft, TU Delft.
• Tu, H., J. W. C. Van Lint, et al. (2006). Empirical investigation to the effects of adverse weather on travel time variability of freeway corridors. TRAIL Congress, Delft, TRAIL Research School.
• Tu, H., H. Van Lint, et al. (2006). Measuring and defining freeway travel time reliability. Proceedings of the Conference on Traffic and Transportation Studies, ICTTS, Xi'an.
• Tu, H., H. Van Lint, et al. (2006). Travel time variability versus freeway characteristics. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Toronto, ON.
• Liu, H., H. J. van Zuylen, et al. (2006). Urban arterial travel time prediction with state-space neural networks and Kalman filters. Transportation Research Board Annual Meeting, CD Rom, Washington DC, National Academies Press.
• Liu, H., J. W. C. Van Lint, et al. (2006). Urban travel time prediction based on queue estimation. 16th IFAC World Congress, Delft, IFAC.
• Liu, H., J. W. C. Van Lint, et al. (2006). Neural network based traffic flow model for urban arterial travel time prediction. TRAIL Congress, Delft, TRAIL Research School.
• Liu, H., H. Van Lint, et al. (2006). Two distinct ways of using kalman filters to predict Urban arterial travel time. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Toronto, ON.
• Van Lint, J. W. C., H. J. van Zuylen, et al. (2005). Altijd zondag? Symposium Dynamisch Verkeersmanagement, Rotterdam, ANWB.
• Van Lint, J. W. C. and H. J. van Zuylen (2005). Monitoring and predicting freeway travel time reliability. Transportation Research Board Annual Meeting, CD Rom, Washington D.C., National Academies Press.
• Van Lint, J. W. C. (2005). Reistijdbetrouwbaarheid en de Nota Mobiliteit. 5e PLATOS colloquium "Europa en de regio's", Het Provinciehuis, 's Hertogenbosch.
• Van Lint, J. W. C. (2005). Identifying congestion patterns with state space neural networks. EWGT / Mini Euro Conference, Poznan, Publishing house of Poznan University of Technology.
• Tu, H., J. W. C. Van Lint, et al. (2005). Real-time modeling travel time reliability on freeway. EWGT / Mini Euro Conference, Poznan, Publishing house of Poznan University of Technology.
• Ngoduy, D., S. P. Hoogendoorn, et al. (2005). Modeling traffic flow operation in multilane and multiclass urban networks. Transportation Research Board Annual Meeting, CD Rom, Washington D.C., National Academies Press.
• Liu, H., H. J. Van Zuylen, et al. (2005). Prediction of urban travel times with intersection delays. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Vienna.
• Liu, H., J. W. C. Van Lint, et al. (2005). An investigation of urban arterial travel time variability. EWGT / Mini Euro Conference, Poznan, Publishing house of Poznan University of Technology.
• Van Lint, J. W. C., H. Tu, et al. (2004). Travel time reliability on freeways. World Congress on Transportation Research, Istanbul, WCTR.
• Van Lint, J. W. C. (2004). Quantifying uncertainty in real-time neural network based freeway travel prediction. Transportation Research Board Annual Meeting, CD Rom, Washington D. C., National Academies Press.
• Van Lint, J. W. C. (2004). Freeway travel time reliability maps, using the shape of the day-to-day travel time distribution. TRAIL Congress, Rotterdam, TRAIL research School.
• Van Lint, J. W. C. and N. J. van der Zijpp (2003). Een verbeterde versie van de trajectorieen methode: reistijdschatten met dubbele loopdetectoren. DVM Symposium, Den Haag, ANWB, Verkeerskunde.
• Van Lint, J. W. C. and N. J. van der Zijpp (2003). An improved travel-time estimation algorithm using dual loop detectors. Transportation Research Board Annual Meeting, CD Rom, Washington D.C., National Academy Press.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2003). Toward a robust framework for freeway travel time prediction: experiments with simple imputation and state-space neural networks. Transportation Research Board Annual Meeting, CD Rom, Washington D.C., National Academies Press.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2003). Robust Freeway Travel time Prediction with State-Space Neural Networks. EWGT / Mini Euro Conference, Bari, Polytechnic of Bari.
• Van Lint, J. W. C. (2003). Confidence Intervals for Real Time Freeway Travel Time Prediction. Proceedings of the 2003 IEEE Conference on Intelligent Transportation Systems, Sjanghai, China, IEEE.
• Hoogendoorn, S. P., P. H. L. Bovy, et al. (2003). Macroscopisch verkeersafwikkelingsmodel voor heterogeen verkeer in netwerken. DVM Symposium, Rotterdam, ANWB, Verkeerskunde.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2002). State Space neural Networks for Freeway Travel Time Prediction. Lecture notes in computer science, Berlijn, Springer.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2002). Robust Freeway Travel time Prediction with State-Space Neural Networks. TRAIL Congress, Delft, DUP Science.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2002). Freeway Travel time Prediction with State-Space Neural Networks. Transportation Research Board Annual Meeting, CD Rom, Washington D.C., National Academies Press.
• Hoogendoorn, S. P., P. H. L. Bovy, et al. (2002). Short-Term Prediction Of Traffic Flow Conditions In A Multilane Multiclass Network. Proceedings of the 15th International Symposium on Transportation and Traffic Theory, Sidney, Australia.
• Hoogendoorn, S. P., J. W. C. Van Lint, et al. (2001). Multiclass multilane network modelling and prediction. TRISTAN IV, Sao Miguel, Universidade de Lisboa & Universidade dos AÇõores.
• Hoogendoorn, S. P. and J. W. C. Van Lint (2001). Short-term Prediction of Traffic Flow Conditions in a Multilane Multiclass Network. Proceedings of the TRISTAN IV conference, Ponta del Gado, The Azores, Portugal.
• Van Lint, J. W. C., S. P. Hoogendoorn, et al. (2000). Robust and Adaptive Travel Time Prediction with Neural Networks. TRAIL Congress, Delft, DUP Satellite.