Ten researchers. Everyone below is tagged with the pillars and methods they carry, so you can see who to write to rather than guessing from a job title.
Head of laboratory
Ph.D. in transportation planning from Pennsylvania State University, with three years at the Pennsylvania Transportation Institute. Author of the motorway line traffic control system deployed on the Prague City Ring Road, and principal investigator of the RESISTRANS national centre.
Deputy head of laboratory
Travel behaviour, driving simulator experiments and statistical evaluation of traffic simulations. Works on railway automation with AŽD Praha, and leads our railway digital twin architecture and the multimodal digital twin project.
Eight researchers, from traffic simulation and game theory to explainable AI and public transport quality. Between them they cover all five pillars and all six methodological groups.
Senior researcher · Traffic simulation, state-space models
Ph.D. in computer graphics from TU Wien, nearly a decade at the Czech Academy of Sciences (ÚTIA). SUMO and Aimsun, applied statistics, and lead author of the certified methodology for developing and deploying transport digital twins.
Senior researcher · Game theory, optimisation
Ph.D. from the Faculty of Mathematics and Physics, Charles University; author or co-author of nearly 100 publications. Game theory, mathematical modelling and optimisation — including the asymmetric Nash bargaining foundation of our service design work.
Researcher · Statistics, travel behaviour surveys
Statistical modelling and evaluation of travel behaviour surveys, including the four-country MaaS choice models and the monograph of Czech mode-choice models and results.
Researcher · Traffic flow harmonisation, multi-agent control
Motorway traffic flow harmonisation and multi-agent systems for traffic modelling and control, including the fuzzy-logic generation of highway management algorithms.
Researcher · Explainable AI for mode choice
Deep neural networks with SHAP attribution for mode choice determinants, and offline origin–destination estimation for cars, cyclists and pedestrians as a baseline for digital twins.
Doctoral candidate · Public transport service quality
Composite quality indices at inter-stop-section resolution, and the net passenger-time balance method for evaluating route deviations.
Doctoral candidate · Behavioural digital twins, activity-based demand
Extends transport digital twins with a slow behavioural loop: activity-based demand updated from GPS, smartcard and app data, and an inference layer that separates supply disruptions from demand shifts. Background in urban design, sustainability science (University of Gävle) and data analytics with GIS and Python.
Doctoral candidate
Doctoral research within the laboratory’s modelling and simulation work. He is focusing mainly on the multi-agent simulation in MATSIM.
If you already know which pillar your question belongs to, this is the shortcut.
| Pillar or method | Who works on it |
|---|---|
| Pillar 1 · Cooperative traffic management and CCAM | Ondřej Přibyl, Jana Kuklová, Michal Matowicki |
| Pillar 2 · Transport digital twins | Jan Přikryl, Michal Matowicki, Ondřej Přibyl, Milad Ziya |
| Pillar 3 · Travel behaviour and mode choice | Michal Matowicki, Pavla Pecherková, Halil Çevik, Milad Ziya, Ondřej Přibyl |
| Pillar 4 · Demand modelling and synthetic populations | Halil Çevik, Milad Ziya, Dmitrii Grishchuk |
| Pillar 5 · Public transport quality and service design | Markéta Jirmanová, Ondřej Přibyl, Magdalena Hykšová |
| Methods · statistics and survey evaluation | Pavla Pecherková |
| Methods · traffic simulation | Jan Přikryl, Jana Kuklová |
| Methods · game theory and operations research | Magdalena Hykšová |
Scaling up the group is an explicit objective for 2026 and beyond, because the agenda across the five pillars is larger than the current team. There is an open postdoctoral position on modelling travel behaviour using multi-agent systems and an activity-based approach, under the mentorship of prof. Přibyl.
We also host visiting researchers through the CTU Global Postdoc Fellowship, supervise within a joint doctoral programme in Smart Cities, and take students who want a thesis on a real problem with real data rather than a synthetic exercise — with access to municipal traffic data that most theses never get near.
Laboratory F311, Na Florenci 25, 110 00 Prague 1 · lambda@fd.cvut.cz