Rafał Kucharski

Rafal worked as a PostDoc with Critical MaaS project from 2019 to 2021. He is developer of ride-pooling algorithm ExMAS (https://github.com/RafalKucharskiPK/ExMAS) and agent-based two-sided mobility simulator MaaSSim (https://github.com/RafalKucharskiPK/ExMAS).

Rafal is now (as of 2022) tenure-tracker at Jagiellonian University in Krakow, working in the group of machine learning, leading a team of 2 PhDs and 2 PostDocs see updates on his website: https://rafal-kucharski.u.matinf.uj.edu.pl/ . Rafal still closely cooperates with SmartPTLab on: ride-pooling and two-sided mobility simulations.

Banet, K., Naumov, V., & Kucharski, R. (2022). Using city-bike stopovers to reveal spatial patterns of urban attractivenessCurrent Issues in Tourism, 1-18.


de Ruijter A., Cats O., Kucharski, R. & van Lint, H. (2022) Emerging Dynamics of Two-Sided Ridesourcing Platforms, 101st Transportation Research Board (TRB) Annual Meeting, Washington DC, USA.


de Ruijter, A., Cats, O., Kucharski, R. & van Lint, H. (2022). Evolution of labour supply in ridesourcing. Transportmetrica B: Transport Dynamics, 10:1, 599-626.


de Ruijter, A., Cats, O., Kucharski, R., Van Lint, H. (2021). Day-to-day Supply Side Evolution of Ride-Sourcing. 9th Symposium of the European Association for Research in Transportation (hEART), Virtual, February 2021.


de Ruijter, A., Cats, O., Kucharski, R., Van Lint, H. (2021). Evolution of Labour Supply in Ridesourcing, 100th Transportation Research Board (TRB) Annual Meeting, Virtual.


Drabicki A., Cats O., Kucharski R. (2021). The Potential of Real-time Crowding Information in Reducing Bus Bunching under Different Network Saturation Levels. IEEE proceedings of the 7th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS2021).


Fielbaum A., Kucharski R., Cays O. and Alonso-Mora J. (2021). How to Split the Costs and Charge the Travellers Sharing a Ride? Aligning Systems Optimum with Users Equilibrium. European Journal of Operational Research, in press.


Kucharski R. and Cats O. (2021). MaaSSim - Agent-based Two-sided Mobility Platform Simulator. IEEE proceedings of the 7th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS2021).


Kucharski R., Cats O. and Sienkiewicz J. (2021). Virus Spreading in Ride-Pooling Networks. Scientific Reports, 11, 1-11.


Marko Maričić (2021). The Effects of Pricing and Service Configurations on a Ride-Pooling Service with Pick-Up and Drop-Off Points. MSc Thesis TU Delft.


Cantelmo, G., Kucharski, R., & Antoniou, C. (2020). Low-Dimensional Model for Bike-Sharing Demand Forecasting that Explicitly Accounts for Weather Data. Transportation Research Record, 0361198120932160.


Drabicki, A., Kucharski, R., Cats, O., & Szarata, A. (2020). Modelling the effects of real-time crowding information in urban public transport systems. Transportmetrica A: Transport Science, 1-62.


Kucharski R., Fielbaum A., Alonso-Mora J., Cats O. (2020). If You are Late, Everyone is Late: Late Passenger Arrival and Ride-Sharing Systems Performance. Transportmetrica A. In press.


Kucharski, R., & Cats, O. (2020). Exact matching of attractive shared rides (ExMAS) for system-wide strategic evaluations. Transportation Research Part B: Methodological139, 285-310.


Kucharski, R., & Cats, O. On Virus Spreading Processes in Ride-Sharing Networks. May 2020 DOI: 10.13140/RG.2.2.20839.68000


Kucharski, R., Drabicki, A., Paszkowski, J., & Szarata, A. (2020). Lewis–Mogridge Points: A Nonarbitrary Method to Include Induced Traffic in Cost-Benefit Analyses. Journal of Advanced Transportation2020.


Drabicki A., Kucharski R. and Cats O. (2019). “Investigating the Effects of Real-Time Crowding Information (RTCI) Systems in Urban Public Transport under Different Demand Conditions”. TransitData2019, Paris. July 2019.


Guido, Cantelmo, Rafał, Kucharski., & Constantinos, Antoniou (2019, June). A low dimensional model for bike sharing demand forecasting. In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (pp. 1-7). IEEE.


Kucharski R., Drabicki, A., Żyłka, K. and Szarata, A. (2019). Multichannel queueing behaviour in urban bicycle traffic. European Journal of Transport & Infrastructure Research, 19(2).


Kucharski, R., & Gentile, G. (2019). Simulation of rerouting phenomena in Dynamic Traffic Assignment with the Information Comply Model. Transportation Research Part B: Methodological126, 414-441.


Kucharski, R., Drabicki, A., Żyłka, K., & Szarata, A. (2019). Multichannel queueing behaviour in urban bicycle traffic. European Journal of Transport & Infrastructure Research19(2).


Niedzielski, M. A., & Kucharski, R. (2019). Impact of commuting, time budgets, and activity durations on modal disparity in accessibility to supermarkets. Transportation Research Part D: Transport and Environment75, 106-120.


Drabicki A., Kucharski R., Cats O. and Szarata A. “Investigation of Instantaneous Effects of Real-time Crowding Information (RTCI) Availability upon Urban Public Transport System Performance – Results from a Simulation-based Case Study”. 7th European Symposium on Quantitative Methods in Transportation Systems (hEART), Athens, Greece, September 2018.


Drabicki A., Kucharski R., Cats O. and Fonzone A. (2017). Simulating the Effects of Real-time Crowding Information in Public Transport Networks. The 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS2017), Naples, 675-680.


Kucharski R. and Drabicki, A. (2017). Estimating macroscopic volume delay functions with the traffic density derived from measured speeds and flows. Journal of Advanced Transportation, 2017.


Drabicki A., Kucharski R., Cats O. and Fonzone A. (2016). “Modelling Passenger Path Choices in Presence of Real-time Information on Crowding Levels in Transit Networks”. 5th European Symposium on Quantitative Methods in Transportation Systems (hEART), Delft, the Netherlands, September 2016.


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