Projects and articles of Greet Kayaert
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Greet Kayaert
ResearcherGreet Kayaert specialises in data analysis and traffic models and obtained a doctorate in Neurosciences. She has extensive experience in neuroscientific and psychophysical research, with a focus on human visual perception. At TML, Greet combines her expertise in data analysis and model development with projects related to traffic safety.
Lubbeek smart region
For the municipality of Lubbeek, we collaborated on a digital twin to map traffic flows and bicycle safety in order to measure the impact of future road infrastructure modifications.
Municipal Plateau Turnhout
TML is developing the master plan for the redevelopment of Flanders' heaviest black spot.
Support MDVM
Dynamic traffic models capture travel times and traffic jams in a realistic manner and are therefore ideally suited for scenario analyses at local and regional level to support dynamic traffic management.
Traffic Scout
TML developed a simplified traffic model that uses Telraam data to analyse local mobility interventions in collaboration with citizens.
Complex project eastern connection
How can the eastern part of the Harbour route be organised in an alternative way?
Cut-through traffic Leuven-East
TML, together with partners SBE, Antea, and DenS, is looking for solutions to the cut-through traffic problem in the eastern outskirts around Leuven.
Research into the efficiency and impact of road safety measures for bicycle traffic
What is the efficiency, impact, and public support of five road safety measures for bicycle traffic in Flanders?
OptiRoutS
This project used a combination of classical traffic models and artificial intelligence to develop a predictive model for real-time traffic situations.
BEV Barometer
TML monitored the evolution of the framework conditions for electric cars in Flanders.
Comparative study aviation sector - international rail transport
On behalf of BBL, we carried out a comparative study of the airline sector and international rail transport for several aspects, such as environmental impact, subsidies, ticket prices, and accessibility for all travellers.
