news

Stay updated with the latest news and insights from RafaΕ‚ Kucharski and his research group at Jagiellonian University. Explore updates on transportation systems, machine learning applications, urban mobility solutions, and innovative academic projects shaping the future of mobility.

  • Christmas Party

    12 Dec 2023

    Such a wonderful evening at #Krakow’s Kazimierz. Not only a Christmas Party, but also the first time when the complete team of #ERC #COeXISTENCE had a chance to meet and integrate with themselves as well as with β€˜older’ friends. πŸ‘ Ten brilliant minds, working now at Jagiellonian University to contribute towards future urban mobility. Great pride of you, wish all the best in the coming year!
    image
  • Our results published in JoTG

    11 Dec 2023

    πŸ—ž When ride-pooling is attractive/efficient for all the parties involved (passengers, platforms/providers, city/environment/sustainability)? We examined half a year (1.5 million trip sample) from NYC, run 9 000 experiments with our π„π±πŒπ€π’ and report 6 KPIs to move beyond the well-known 𝐜𝐫𝐒𝐭𝐒𝐜𝐚π₯ 𝐦𝐚𝐬𝐬 and better understand ride-pooling potential. See our results in Journal of Transport Geography with Olha Shulika, MichaΕ‚ Bujak and Farnoud Ghasemi.
    image
  • EWRL

    09 Oct 2023

    Great opportunity at EWRL workshop on Reinforcement Learning, great keynotes and posters in Brussels. I learnt and enjoyed!
  • CEETRA launched!

    28 Sep 2023

    πŸš€ Central Europe for Excellence in Transportation Research Association 𝐂𝐄𝐄𝐓𝐑𝐀 launched 🀝 - by 20+ CEE transportation researchers at the Jagiellonian University. The 𝐂𝐄𝐄𝐓𝐑𝐀’s ambition is to create a network of like-minded CEE researchers with an excellent research track record πŸ€”πŸ§ πŸ’‘
    image
  • Keynote speech at TSTP

    09 Sep 2023

    Today I gave a keynote speech at the TSTP Conference - I gave an overview of future equilibira with CAVs - slides
  • hEART2023 in Zurich

    05 Sep 2023

    πŸ›« On our way to hEART Conference at ETH. This year, our team will present in Zurich: πŸ’£ Farnoud Ghasemi will show how we extend #MaaSSim and simulate Dynamics of the Ride-Sourcing Market: A Coevolutionary Model of Competition between Two-Sided Mobility Platforms - session D6 on Thursday. πŸ’£ MichaΕ‚ Bujak will show how we extend #ExMAS to be able to: Assessing expected ride-pooling performance with non-deterministic, heterogeneous travellers’ behaviour - session E2 on Wednesday. πŸ’£ Arkadiusz Drabicki wraps up his PhD to show his results on Willingness to wait with real-time crowding information in urban public transport – before vs. after COVID-19 pandemic (with Oded Cats ) - session A2 on Wednesday.