Recent publications
- Olha Shulika, Michał Bujak, Farnoud Ghasemi, Rafał Kucharski, Spatiotemporal variability of ride-pooling potential–Half a year New York City experiment, Journal of Transport Geography 114 (2024), 1-12
- Rafał Kucharski, Arkadiusz Drabicki, Cats Oded, Szarata Andrzej, Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport, Research in Transportation Business and Management 47 (2023),
- Michał Bujak, Rafał Kucharski, Network structures of urban ride-pooling problems and their properties, Social Network Analysis and Mining 13 (1) 89 (2023), 1-13
- Rafał Kucharski, Cats Oded, Jaime Soza-Parra, The shareability potential of ride-pooling under alternative spatial demand patterns, Transportmetrica A-Transport Science (2022),
- Rafał Kucharski, Cats Oded, Simulating two-sided mobility platforms with MaaSSim, PLoS One 17(6) (2022), e0269682
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)