Bart van Arem, Dr. Ir.
Delft University of Technology
Prof Dr Bart van Arem is the Principal Investigator of the project Taking the Fast Lane and is promotor of the PhD researchers in the project. He was appointed full professor Transport Modelling at Delft University of Technology in 2009. He is head of the department Transport & Planning (20 permanent staff members, 80 PhD/postdoc researchers), member of the Management Team of the faculty of Civil Engineering and Geosciences and director of the TU Delft Transport Institute. From 2003-2012 he worked as part-time full professor Applications of Integrated Driver Assistance at the University of Twente. From 1991-2009, he worked at TNO, the Netherlands, starting as an ITS researcher in the EU funded DRIVE program, later as a senior researcher and program manager traffic, transport and logistics at TNO.
Bart van Arem has conducted his research in close collaboration with international industrial partners. He worked in EU funded projects on intelligent vehicle applications such as SAFESPOT, CVIS, eImpact, PReVENT and –currently- the HF Auto project . He has worked with BMW on authority transitions in real traffic. In the Netherlands he has worked with NXP, HERE, TomTom and Technolution on advisory in-car systems in several nationally funded projects. His international work extends beyond the EU, working on High Performance Vehicles Stream for FHWA in collaboration with UC Berkeley, on congestion reduction at sags by intelligent vehicles with Toyota, with Nissan on simulation of testing scenarios for automated vehicles and on driver support and automation with the ITS Research Centre of the Chinese Ministry of Transport.
At a policy level, Bart van Arem is a frequent spokesmen and advisor not only to the Dutch Ministry of Transport and Environment, but recently also the Ministries of Economic Affairs and Finance. He participates in the CEDR funded DRAGON project developing scenarios for automated driving for EU Road operators. He is consortium manager of “Spatial and Transport Impacts of Automated Driving”, a 2.3 M€ project recently funded by the Dutch National Science Foundation.
• Wang, M., Daamen, W., Hoogendoorn, S.P., van Arem, B. Connected variable speed limits control and car-following control with vehicle-infrastructure communication to resolve stop-and-go waves. (2016) Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 20 (6), pp. 559-572.
• Wang, M., Daamen, W., Hoogendoorn, S.P., Van Arem, B. Cooperative Car-Following Control: Distributed Algorithm and Impact on Moving Jam Features. (2016) IEEE Transactions on Intelligent Transportation Systems, 17 (5), art. no. 7362183, pp. 1459-1471.
• Varotto, S.F., Hoogendoorn, R.G., Arem, B.V., Hoogendoorn, S.P. Empirical longitudinal driving behavior in authority transitions between adaptive cruise control and manual driving. (2015) Transportation Research Record, 2489, pp. 105-114.
• Schakel, W.J., Van Arem, B. Improving traffic flow efficiency by in-car advice on lane, speed, and Headway. (2014) IEEE Transactions on Intelligent Transportation Systems, 15 (4), art. no. 6747406, pp. 1597-1606.
• Djavadian, S., Hoogendoorn, R.G., Van Arem, B., Chow, J.Y.J. Empirical evaluation of drivers' route choice behavioral responses to social navigation. (2014) Transportation Research Record, 2423, pp. 52-60.
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