Data Enrichment Group
Data enrichment is one of the important steps in the research activities for several projects we perform at Transport & Mobility Leuven. As we are often confronted with administrations and private companies asking us to identify future issues and opportunities, the need for dedicated data analyses becomes more prominent. This is the case when looking at the micro level of mobility (dealing with driver behaviour), as well as the meso and macro levels (trip planning and long-term mobility planning, respectively). The objectives of these types of projects make it necessary to manipulate data in such a way that an understanding of the underlying structures within the data emerges.
Update of the Mobiscore based on the recommendations made during the study "Analysis results Mobiscore".
nuMIDAS is a Horizon 2020 research project, led by TML, that will build a toolkit to help decision makers in cities tackle ne...
Replacing parking spaces by sustainable mobility solutions
Demonstration of innovative sustainable mobility measures in European cities.
Interactive Toolset for Understanding Trade-offs in ATM Performance.
Coordination of research and innovation in the framework of CIVITAS 2020.
Train Scheduling: The Game
Optimisation of train scheduling in a pc simulation game environment
Supporting the Development of the White Paper on Spatial Planning Policy in Flanders
TML supported the Flemish government on topics related to mobility
Estimation of Travel Time Losses on Trajectories
How much congestion does a commuter encounter?
Overview ITS Market Belgium 2010
Opportunities and obstacles for Dutch companies
A Study on Co-modality and Eco Driving Mobility
Data enrichment applied to detailed mobility data
Analysis of Traffic Congestion in Belgium
Evolution of traffic congestion in light of the growth in traffic demand and possible control measures
Validation of travel times based on Cellular Floating Vehicle Data (CFVD)