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.
Requirements for efficient and sustainable cross-border use of car rentals
How can a possible EU initiative improve the efficiency of the international car rental market?
Plan-EIR for Leuven-Noord
Our plan-EIR sets out the mobility impacts of developments in the Wetenschapspark and Spoorpark in Louvain.
European Road Safety Observatory
TML will process and analyse European road safety data, automate statistical reporting, and contribute to thematic studies for the European Road Safety Observatory.
HARMO
HARMO develops and validates self-driving vehicles that take better account of how human driving behaviour changes with experience and familiarity with a route.
Managing road work impact on the Brussels Ring Road in Zaventem
TML supported the AB Eiffage-Viabuild-ACL Agro consortium in minimising traffic disruption during the planned works on the Brussels Ring Road in Zaventem.
Smart and bidirectional charging in Europe
How can smart or bidirectionally charging electric vehicles turn into flexible energy assets?
Evaluation Flemish Safety Plan
Which measures improve road safety, and what can we learn from other countries?
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.
Traffic Scout
TML developed a simplified traffic model that uses Telraam data to analyse local mobility interventions in collaboration with citizens.
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.
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.
Complex project eastern connection
How can the eastern part of the Harbour route be organised in an alternative way?
OptiRoutS
This project used a combination of classical traffic models and artificial intelligence to develop a predictive model for real-time traffic situations.
Municipal Plateau Turnhout
TML developed the master plan for the redevelopment of Flanders' heaviest black spot.
Brussels Airport Road Rush Barometer
TML supports Brussels Airport in predicting and preventing disruption caused by roadworks.
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?
BEV Barometer
TML monitored the evolution of the framework conditions for electric cars in Flanders.
