news
Stay updated with the latest news and insights from Rafaล 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.
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Our latest paper published in Travel Behaviour and Society๐ฃ
The latest publication with Arkadiusz Drabicki in collaboration with Oded Cats Has the COVID-19 pandemic affected travellersโ willingness to wait with real-time crowding information? is now available! ๐ This study investigates the willingness to wait (WTW) to reduce (or avoid) overcrowding with real-time crowding information in urban public transport (bus and tram) journeys, analysing pre- vs. post-COVID travel behaviour attitudes. Access the paper here โฌ ๏ธ -
Some thoughts on Polish science
๐ค Last week during Open Eyes Economy I spoke with Marek Tajchman about the future of AI and how crucial is to invest in Polish science. There is no innovation without basic research.
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Join us at ML in PL 2024
Let us take you on an extraordinary journey during which we show how autonomous vehicles can disturb our cities by applying reinforcenment learning in their route choice. ๐ค This Sunday Nov 10 at 2:30 PM Anastasia and Onur are taking up the reins and waiting for you in Copernicus Science Centre. So donโt wait and register for our tutorial. Reach out for more info
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Our 'envoys' are already in Toulouse
๐๐๐ We are proud to share our achievements in urban traffic dynamics at 17th European Workshop on Reinforcement Learning. Meet Onur and Anastasia who are proving that RL-enabled autonomous vehicles can optimize behavioral objectives by learning to choose better routes! Just take a look how we came to this conclusion ๐
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We make a good team outside of work as well
Last Saturday we took part in Run for a Good Cause ๐โโ๏ธ ๐โโ๏ธ ๐โโ๏ธ ๐โโ๏ธ - a charity event organised by the Faculty of Mathematics and Computer Science to support Tadzio Kaminski, the son of our colleague. The competition has faded into the background, it was a great chance to help those in need and have fun while doing this. Our team composed of four did a good job!
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Presenting at 27th IEEE ITS Conference
Last week in Edmonton during 27th IEEE International Conference on Intelligent Transportation Systems Rafal presented our work on how we can use Reinforcement Learning to optimize platform market entry strategies. ๐ Platforms like Uber, Bolt, Lyft or Didi may use it (based on our MoMaS platform growth simulator) to improve their strategies (fares, discounts and incentives). Check out paper abstract here
