Rafał Kucharski

Rafal did his PhD in real-time Dynamic Traffic Assignment with La Sapienza University of Rome (prof. Guido Gentile). He introduced a rerouting algorithm to represent drivers reaction to unexpected traffic events in real-time.

He worked as assistant professor at Department of Transportation Systems of Krakow University of Technology (Poland). He gained strong experienced as IT R&D developer (PTV SISTeMA), data-scientist (NorthGravity) and transport modeller with a rich portfolio of strategic models.

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.


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.


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.


Smart Public Transport Lab

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