Prof.dr.ir. J.W.C. (Hans) van Lint
After getting my Msc degree Civil Engineering in 1997, I worked for a software firm (IT Works), engineering consultancy (DHV) and a municipality (Rotterdam) before returning to TU Delft for a PhD at the Transport & Planning dept. of Civil Engineering in 2001, which I finished in 2004 (on ‘Freeway travel time prediction’). Since then I was assistant (until 2009) and associated professor and appointed Anthony van Leeuwenhoek Professor in 2013 (all at the same department).
My research lies on the interface between traffic flow theory and simulation and advanced data processing and assimilation. I have worked (with my colleagues and PhD students) on travel time reliability; on new traffic flow theories and models; and on data assimilation and fusion methods for estimating and predicting the traffic state in networks. Many of these research projects have led to follow up and valorisation projects in which the developed models and tools have led to innovative applications in practice.
- 2010-2016: Director of Education MSc Transport, Infrastructure and Logistics
- until 2020 BSc Course CTB1420 Transport & Planning
- until 2020 MSc Course TIL4030 Interdisciplinary Fundamentals
- MSc thesis students always welcome!
- Van Lint, J. W. C. and S. C. Calvert (2018). "A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction." Transportation Research Part B: Methodological 117: 63-86.
- Luo, D., O. Cats and H. van Lint (2017). "Constructing Transit Origin-Destination Matrices Using Spatial Clustering." Transportation Research Record: Journal of the Transportation Research Board 2652: 39-49.
- Lopez, C., L. Leclercq, P. Krishnakumari, N. Chiabaut and H. van Lint (2017). "Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps." Scientific Reports 7(1): 14029.
- Krishnakumari, P., T. Nguyen, L. Heydenrijk-Ottens, L. V. Hai and H. van Lint (2017). "Traffic Congestion Pattern Classification Using Multiclass Active Shape Models." Transportation Research Record: Journal of the Transportation Research Board(2645): 13p.
- Knoop, V. L., H. van Lint and S. P. Hoogendoorn (2015). "Traffic dynamics: Its impact on the Macroscopic Fundamental Diagram." Physica a-Statistical Mechanics and Its Applications 438: 236-250.
- Van Wageningen-Kessels, F., H. van Lint, K. Vuik and S. Hoogendoorn (2014). "Genealogy of traffic flow models." EURO Journal on Transportation and Logistics: 1-29.
- Yuan, Y., J. W. C. van Lint, R. E. Wilson, F. van Wageningen-Kessels and S. P. Hoogendoorn (2012). "Real-Time Lagrangian Traffic State Estimator for Freeways." Ieee Transactions on Intelligent Transportation Systems 13(1): 59-70.
- Van Hinsbergen, C. P. I. J., T. Schreiter, F. S. Zuurbier, J. W. C. van Lint and H. J. van Zuylen (2012). "Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation." Ieee Transactions on Intelligent Transportation Systems 13(1): 385-394.
- Djukic, T., J. W. C. van Lint and S. P. Hoogendoorn (2011). "Efficient Methodology for Benchmarking Dynamic Origin-Destination Demand Estimation Methods." Transportation Research Record 2263: 35-44.
- Van Lint, J. W. C. and S. P. Hoogendoorn (2010). "A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways." Computer-Aided Civil and Infrastructure Engineering 25(8): 596-612.
- Van Lint, J. W. C., H. J. van Zuylen and H. Tu (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., S. P. Hoogendoorn and H. J. van Zuylen (2005). "Accurate freeway travel time prediction with state-space neural networks under missing data." Transportation Research Part C-Emerging Technologies 13(5-6): 347-369.
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