About my blog

Hans van Lint is AvL (Antonie van Leeuwenhoek) Professor Traffic Simulation and Computing at the Transport & Planning department, faculty of Civil Engineering and Geosciences. He's also director of education of the Msc TIL (Transport, Logistics and Infrastructure).

His other passion in life is music - check out the Dutch Genesis tribute band Squonk.

Links to Hans' profiles on Facebook and on LinkedIn!


De meningen ge-uit door medewerkers en studenten van de TU Delft en de commentaren die zijn gegeven reflecteren niet perse de mening(en) van de TU Delft. De TU Delft is dan ook niet verantwoordelijk voor de inhoud van hetgeen op de TU Delft weblogs zichtbaar is. Wel vindt de TU Delft het belangrijk - en ook waarde toevoegend - dat medewerkers en studenten op deze, door de TU Delft gefaciliteerde, omgeving hun mening kunnen geven.


After 4 years work as programmer at IT Works, project engineer at DHV and coordinator of the regional traffic information centre in Rotterdam, I started my PhD research in the fall of 2000. Lucky for me, my promotor Henk van Zuylen managed to acquire funds to have me work full-time on my dissertation from March 2001 onwards. That was necessary, because I do not recall producing anything useful in that first half year. But once working as a full-time PhD things started moving fast in the right direction. I dove into freeway travel time prediction using dynamic neural networks and finished my PhD in June 2004. My academic career as assistant professor at TU Delft started directly after receiving my doctorate. Besides data driven approaches to traffic estimation and prediction, I developed a love for physical modelling of traffic flows, and still to date, these two fields (AI/data assimilation and traffic flow modelling and simulation), form the cornerstone of my research. I was promoted to associate professor in 2008 and was awarded an Anthony van Leeuwenhoek full professorship by the TU Delft Executive board in 2013.

Up to now I authored close to 50 articles in peer reviewed international journals; supervised 14 PhD students of which 8 have graduated (7 co-promoted by me); and (co)wrote successful grants worth over 5ME sponsored by NSF, EU, national government and Industry, amongst which an STW/Veni personal research grant in 2007. Most of these research efforts indeed lie on the interface of traffic flow theory & simulation and advanced data assimilation and soft-computing techniques. With my PhD students that I co-supervised with my two mentors Henk van Zuylen (until 2008) and Serge Hoogendoorn (until 2013) I developed advanced travel time, traffic and origin-destination matrix monitoring, estimation and prediction methods and worked on new theories and models for multi-class traffic flows and travel time reliability. Today I serve as associate editor of the IEEE Transactions on Intelligent Transportation Systems; I am an active member of two standing Transportation Research Board committees on Traffic flow theory and Characteristics and on Advanced Data and Computing Techniques respectively; and I serve as reviewer for most of the top tier journals in the transportation domain.

In my capacity as full professor I initiated the Delft integrated Traffic & Travel Laboratory (DiTTLab, www.DiTTLab.org). Within DiTTLab, traffic simulation tools are coupled with (big) data. In the OpenTrafficSimulation initiative the aim is to develop an advanced open source framework for multi-scale multi-modal traffic flow modelling and simulation. In the “Urban Mobility Lab” and “The Traffic Observatory” projects huge amounts of data are archived, fused and processed, and used for the advance of new and innovative data fusion and traffic estimation and prediction tools. In the mean time many exciting new projects are on their way in DiTTLAB — be sure to visit DiTTLAB.org!

About me

Title(s), initial(s), first name, surname: Dr. Ir. J.W.C. (Hans) van Lint
Male/female: Male
Date and place of birth: 15-04-1971, Delft
Nationality: Dutch

Current affiliations



Date: 01-09-1997 Faculty of Civil Engineering / Delft University of Technology
Subject: Predicting water levels in polders with neural networks


Date: 07-06-2004 Delft University of Technology (DUT), The Netherlands
Supervisor (‘Promoter’): Prof. Dr. H.J. van Zuylen
Title of thesis: Reliable travel time prediction for freeways
Be Sociable, Share!

Comments are closed.

© 2011 TU Delft