Recent publications
- Michał Bujak, Rafał Kucharski, Balancing profit and traveller acceptance in ride-pooling personalised fares, vol. Volume 333, Issue 1 (2026), 101-116
- Olha Shulika, Hanna Vasiutina, Michał Bujak, Farnoud Ghasemi, Rafał Kucharski, Shifting Car Users To Public Transport: A Utility-Based Approach For Selecting Areas For Feeder Services, Transportation Research Procedia Volume 95 (2026), 744-751
- Rafał Kucharski, Farnoud Ghasemi, Cats Oded, Regulating ride-sourcing markets: Can minimum wage regulation protect drivers without disrupting the market?, vol. 21(3) (2026),
- Magdalena Proszewska, Michał Bujak, Rafał Kucharski, Jacek Tabor, Marek Śmieja, Optimising network efficiency in an epidemic scenario, Social Network Analysis and Mining 2/16 (2026),
- Ahmet Akman, Anastasia Psarou, Michał Hoffmann, Łukasz Gorczyca, Gora Pawel, Grzegorz Jamróz, Rafał Kucharski, Kowalski Łukasz, URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025),
Interests
I research complex social systems: urban mobility. Congested, urban multimodal networks used by millions of agents to reach their destinations and leaving huge sets of mobility traces ready to be applied for modelling, optimization, understanding and control.
Currently, as an Assistant Professor in the Faculty of Mathematics and Computer Science of Jagiellonian University in Krakow (Poland) I am part of the Group of Machine Learning Research GMUM. I run the NCN Opus Grant on Shared Mobility in the pandemic times and run a team to research complex social systems of urban mobility within the DigiWorld scheme. We are now a team of two PhDs, two PostDocs and me.
Before, I worked (2019-2021) with Oded Cats at TU Delft in his ERC Starting Grant Critical MaaS. I model two-sided mobility platforms, specifcally focusing on ride-pooling (making people share their Uber with co-travellers - ExMAS) and agent-based simulator for Uber-like systems (MaaSSim). I did PhD with Guido Gentile in non-equilibrium dynamic traffic assignment. In the interdisciplinary field of urban mobility I did research which can be classified as: model estimation, optimization, system control, network design; agent-based simulation, game-theory, network science, stochastic simulation, epidemic modelling; machine learning, spatial analysis, big data analysis, pattern recognition, unsupervised learning; behavioural modelling, economic discrete choice models, policy, sustainability.
Rafał Kucharski
academic degree/title Doctor of Science position- Division of Machine Learning
- Institute of Computer Science and Computational Mathematics
- Group of Machine Learning Research (GMUM)