Michiel joined the Institute of Transport and Logistics Studies, at The University of Sydney, as Professor and Chair in Transport Network Modelling in early 2012. Before moving to Australia he was Associate Professor in Transport Planning at Delft University of Technology, and worked as a consultant at Goudappel Coffeng, the largest transport and traffic consultancy in the Netherlands.
Michiel studied Econometrics and Operations Research at Brown University (USA) and the University of Groningen (the Netherlands) where he obtained a cum MSc degree (cum laude) in 1996. In 2001 he received a PhD degree in transport planning and traffic engineering at Delft University of Technology for his work on the topic of multiclass dynamic traffic assignment. In the past 10 years, Michiel has published over 200 scientific articles in peer-reviewed journals, books, and conference proceedings. He is Associate Editor of the Journal of Choice Modelling and is a member of the Editorial Advisory Board of Transportation Research Part B. Further, he is a member of the Network Modelling Committee and Survey Methods Committee at the Transportation Research Board, a member of the Scientific International Advisory Committee of the Dynamic Traffic Assignment Symposium, a member of the International Association on Travel Behaviour Research.
Michiel has been successful in obtaining grants from the Dutch National Science Foundation (NWO) with respect to two large road pricing studies, as well as several grants on various topics from the Australian Research Council, namely two Discovery Projects, two Linkage Projects, and one LIEF. Michiel works actively with governments and industry partners to bring scientific innovations to practice. He has advised governments in Australia, the UK, Germany, the Netherlands, and Belgium regarding their transport model systems, has developed several traffic assignment and simulation models and algorithms implemented in the OmniTRANS and AIMSUN software tools, and is co-developer of the Ngene software for generating experimental designs for stated choice surveys.
