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Anna Oblakova

Dynafloat: Dynamic urban traffic management using floating car, planning, and infrastructure data

This research project is part of the Dynafloat project, which focuses on logistics and mobility, and seeks to reconcile economic, social and ecological objectives. That is: transport and logistics should be maximally efficient, with minimum delay and limited adverse impact on the environment (carbon and particle emission, noise). In particular, we focus on the use of massively available planning and floating car data in addition to data from road side equipment, to enable dynamic control of both freight and passenger flows. The position deals with developing brand new analytical models for the dynamic traffic control (at the tactical as well as operational level) through road infrastructures and based on the three sorts of input data, mentioned before. The models will be rooted in a queueing-theoretical approach combined with methodologies from stochastic operations research. In addition to the model development and optimization, we will investigate the impact of reserving specific corridors for freight traffic in urban areas, e.g., reserving specific lanes or adding specific stretches in the network to be used exclusively by freight trucks or shared with public transport.


Prof. dr. Richard J. Boucherie.

Prof. dr. W. Henk M. Zijm,

Dr. Jan-Kees van Ommeren,

Dr. Ir. Ahmad Al Hanbali



May 2015 – May 2019






Funding institution

The Dynafloat project is funded by the Top consortium for science and innovation (TKI) and the Netherlands organisation for scientific research (NWO).


CTIT Research Centre



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