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Michiel Bliemer

Michiel Bliemer

PhD Delft MSc RUG
Chair in Transport and Logistics Network Modelling

Room 1119
C13 - St James Campus
The University of Sydney
NSW 2006 Australia

Telephone +61 (0)2 9114 1840
Fax +61 2 9114 1722


After studying Economics at Brown University Graduate School (USA) and receiving his MSc degree in Econometrics and Operations Research (with honours) from the University of Groningen (the Netherlands) in 1996, Michiel began his PhD in transport planning and traffic engineering at Delft University of Technology (The Netherlands) on the topic of dynamic traffic assignment. In 2001, he obtained his PhD degree, and become Assistant Professor in Transport Economics at Delft. At the same time, he held a part-time position at the Dutch Institute for Applied Scientific Research (TNO) and developed the INDY dynamic traffic assignment software. In 2004, Michiel was promoted to Associate Professor in Transport Modelling and has since supervised several PhD candidates in the fields of road pricing, dynamic network modelling, evacuation planning, network reliability and robustness, and firm location choice. In addition, he has been responsible for teaching the transport modelling course and courses in discrete choice methods, dynamic traffic management, and transport economics. As of 2008, he accepted a part-time position as Innovation Manager at Goudappel Coffeng, the largest transport and traffic consultancy in the Netherlands. At the company, he has been responsible for several model innovations in the OmniTRANS software, such as the StreamLine dynamic traffic network model, the STAQ static traffic assignment with queuing model, and discrete choice models to be applied on large transport networks. Further, Michiel is co-developer of the Ngene software for generating experimental designs.

In early 2012, Michiel joined ITLS full-time as a Chair in Transport and Logistics Network Modelling, where he teaches the strategic transport modelling unit. Further, Michiel is active in conducting research in the transport and logistics modelling domain, with a strong focus on realistically simulating travellers and agents in large transportation networks. Michiel also actively works together with consultants, industry partners, and government to bring new scientific methods and models to practice, as to support policy makers in making better infrastructure and traffic management decisions.


In the past ten years, Michiel has published over 200 scientific articles in peer-reviewed journals, books, and conference proceedings, and is an active member of the network modelling and survey methods committees at the Transportation Research Board (USA), the innovative methods committee at ETC (Europe), and the scientific board of the DTA conference. Furthermore, he is a member of the International Association of Travel Behaviour Research (IATBR), a member of the editorial advisory board of Transportation Research Part B, and is an associate editor of the Journal of Choice Modelling.


Newsroom articles

  • Making road users pay could clear infrastructure gridlock 27 Mar 2014

    The Conversation

    A plan to remove registration and petrol taxes and replace them with road user charges was backed by Australian motoring groups, arguing that it would be a fairer system and make travelling more efficient.

See all Newsroom items for Michiel Bliemer

Research Grants


Risky business: using biological systems to mitigate risk in supply chains and transportation networks

In an uncertain world, resilient supply chains are crucial for getting products and services to consumers. However, the algorithms used to design and manage supply chains are inadequate to deal with the increasingly complex and self-organised nature of modern supply chains. This project will look to nature for new solutions to supply chain design and management problems. Natural systems are highly resilient against perturbations and damage. They have had millions of years to evolve efficient solutions to the same problems currently facing supply chains. Using experiments on ants and slime moulds. This project will uncover the secrets of biological resilience, and use this insight to develop new algorithms for supply chain design and management.

ARC Discovery Project


Methodologies for the incorporation of congestion propagation and system reliability into transport network models for consistent multi-scale planning

This project will improve the capabilities of transport planning techniques. Specifically, new methods will be introduced, which improve the realism of regional congestion modelling, and the mathematical representation of traveller decision-making, thereby permitting an improved long-term transport plan.

ARC Linkage Grant


Travel Choice Simulation Laboratory (TRACSLab): a visualisation laboratory to study travel behaviour and drivers' interactions

Travel Choice Simulation Laboratory (TRACSLab) is a world-first facility to observe collective travel choice in a realistic lab environment. It is unique due to the focus on travel choice, networked interaction and strong teaming. The findings of the lab will support a new generation of transport analysis techniques for emerging issues such as sustainability, reliability, and intelligent transport systems (ITS).

ARC Linkage Infrastructure, Equipment and Facilities

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Recent Units Taught