Arkadiusz Drabicki

Arkadiusz Drabicki is a post-doctoral researcher at the Technical University of Munich, Chair of Transportation Systems’ Engineering. He completed his PhD in transportation at Cracow University of Technology (Poland). He has also made research stays at the TU Delft (Netherlands) and Edinburgh Napier University (UK). His PhD research has been awarded at the TRA VISIONS 2022: Young Researcher Competition (1st place in the Cross-Modality panel).

His research interests focus around: transportation modelling and planning, travel behaviour analysis, ITS data in public transport. In addition to scientific activities, he has also practical experience in developing transportation models, forecasts and feasibility studies for cities and regions in Poland (incl. Warsaw, Krakow, Wroclaw, Poznan, Masovia, Lesser Poland).

Academic Experience

Nov 2023 – current	Post-doctoral researcher Technical University of Munich, Germany Chair of Transportation Systems Engineering
Oct 2015 – Oct 2023	Research-teaching assistant Cracow University of Technology, Poland Department of Transportation Systems
Oct 2019 – Jun 2020	Visiting PhD student (NAWA scholarship) Delft University of Technology, The Netherlands Department of Transport and Planning (Smart Public Transport Lab)
Nov 2017, Mar 2015	Short-term scientific missions (EU COST Actions TU1004, TU1305) Edinburgh Napier University, United Kingdom Transport Research Institute

Education

2023	Ph.D., Transportation Cracow University of Technology, Poland Thesis: Modelling the impacts of real-time crowding information in urban public transport networks
2015	M.Sc., Civil Engineering Cracow University of Technology, Poland Thesis: Incorporation of public transport overcrowding effects on passenger path choices in transit assignment
2014	B.Sc., Civil Engineering Cracow University of Technology, Poland Thesis: Development of a microsimulation road junction model in Kraków and its functional analysis

Selected publications

Journal papers:

• Drabicki, A., Cats, O., Kucharski, R., Fonzone, A., & Szarata, A. (2023). Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport. Research in Transportation Business & Management, 47, 100963.
• Drabicki, A., Kucharski, R., & Cats, O. (2022). Mitigating bus bunching with real-time crowding information. Transportation, 1-28.
• Drabicki, A., Kucharski, R., Cats, O., & Szarata, A. (2021). Modelling the effects of real-time crowding information in urban public transport systems. Transportmetrica A: Transport Science, 1-39.
• Drabicki, A. A., Islam, M. F., & Szarata, A. (2021). Investigating the Impact of Public Transport Service Disruptions upon Passenger Travel Behaviour — Results from Krakow City. Energies, 14(16), 4889.
• 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 Transportation, 2020.
• Kucharski, R., Drabicki, A., Żyłka, K., & Szarata, A. (2019). Multichannel queueing behaviour in urban bicycle traffic. European Journal of Transport and Infrastructure Research, 19(2). 
• Kucharski, R., & 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., & Szarata, A. (2017). Modelling the public transport capacity constraints’ impact on passenger path choices in transit assignment models. Archives of Transport, 43.

Conference proceedings:

• Drabicki, A., Ściga, Sz., & Chwastek, K. (2023). Public transport effectiveness evaluation with capacity-constrained macroscopic assignment. In 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE. 
• Drabicki, A., Cats, O., & Kucharski, R. (2021). The potential of real-time crowding information in reducing bus bunching under different network saturation levels. In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE.
• Drabicki, A., Szarata, A., & Kucharski, R. (2020). Suppressing the effects of induced traffic in urban road systems: impact assessment with macrosimulation tools-results from the city of Krakow (Poland). Transportation Research Procedia, 47.
• Gora, P., Katrakazas, C., Drabicki, A., Islam, F., & Ostaszewski, P. (2020). Microscopic traffic simulation models for connected and automated vehicles (CAVs)–state-of-the-art. Procedia Computer Science, 170, 474-481.
• Drabicki, A., Kucharski, R., Cats, O., & Fonzone, A. (2017). Simulating the effects of real-time crowding information in public transport networks. In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE.