Bart van Arem

Professor of Transport Modelling


Transport & Planning   


Transport Modelling


Faculty of Civil Engineering and Geosciences
Building 23
Stevinweg 1 / PO box 5048
2628 CN Delft / 2600 GA Delft

Room number: HG 4.13
Phone: +31 15 27 86342

Secretary: Dehlaila da Costa Ricardo

Secondary employment

Prof Dr Bart van Arem


Bart van Arem was appointed full professor Transport Modelling at Delft University of Technology in 2009. He is head of the department Transport & Planning and director of the TU Delft Transport Institute. From 2003-2012 he was part-time full professor at the University of Twente. From 1991-2009, he worked at TNO. Bart van Arem has an MSc (1986) and PhD (1990) degree in Applied Mathematics at the University of Twente, the Netherlands.


Will intelligent vehicles help solve congestion problems? High expectations rest on intelligent vehicles, yet the answer to this question is far from trivial. My research focuses on analysing and modelling the implications of intelligent vehicles. Such implications vary from human factors to traffic flow on roads and networks. The research has a strong modelling and simulation component based on empirics wherever possible using our instrument vehicles and driving simulator.

Educational activities

I teach the course MSc CIE 5805 Intelligent Vehicles for Safe and Efficient Traffic: Design and Assessment. The course is aimed at theoretical and practical understanding of the interaction between intelligent systems and services, driving behavior and traffic flow characteristics. Students work in group and learn how to develop a design of intelligent systems in vehicles, including the technological components and control modules and assess the impacts in terms of behavioral adaptation, traffic safety and efficiency.

I developed the “Transport week”  as part of the course BSc CTB1120 Introduction to Civil Engineering, which introduces the basics of Transport planning and in which students study try to solve a major transport problem in the Delft region.

I teach a module on Intelligent Transport Systems in the course CIE4760 Assessment of Transport Systems and Infrastructures.

I chair around 10 MSc final thesis committees a year, with subjects in cooperative and intelligent driving as well as transport planning and modelling.

Key publications

  • GH de Almeida Correia, B van Arem (2016), Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility, Transportation Research Part B: Methodological 87, 64-88
  • Wang, M., Daamen, W., Hoogendoorn, S. P. & van Arem, B. (2015) Cooperative car-following control: distributed algorithm and impact on moving jam features. IEEE Transactions on Intelligent Transportation Systems, 2015, 17 (5), pp. 1459-1471
  • Varotto, S. F., Hoogendoorn, R. G., B. van Arem, & S.P. Hoogendoorn,( 2015). Empirical longitudinal driving behaviour in case of authority transitions between adaptive cruise control and manual driving. Transportation Research Record 2489, pp 105-114
  • Schakel, W., B. van Arem (2014), Improving traffic flow efficiency by in-car advice on lane, speed and headway, IEEE Transactions on Intelligent Transportation Systems, 15 (4) pp 1597-1606.
  • X Liang, GH de Almeida Correia, B van Arem, (2016) Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips, Transportation Research Part E: Logistics and Transportation Review 93, 115-129
  • B Goñi-Ros, VL Knoop, T Takahashi, I Sakata, B van Arem, (2016) Optimization of traffic flow at freeway sags by controlling the acceleration of vehicles equipped with in-car systems, Transportation Research Part C: Emerging Technologies 71, 1-18
  • K van Goeverden, B van Arem, R van Nes (2016), Volume and GHG emissions of long-distance travelling by Western Europeans, Transportation Research Part D: Transport and Environment 45, 28-47
  • ES Smits, MCJ Bliemer, AJ Pel, B van Arem (2016), A family of macroscopic node models, Transportation Research Part B: Methodological 74, 20-39

More publications

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