news
News and updates
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8th Silesian Science Festival KATOWICE is coming 🚀
At first view, the city’s transport system is a complex technical structure filled with machines 🚙 (vehicles) and engineering 🛣 (roads, tracks, bridges, etc.) - managed by engineers and algorithms. Nothing could be more wrong! Engineering only sets the boundary conditions here, but the main actors are us, people. Our decisions (what, when, which way and where I will go) determine the shape of this complex system. During 8th Silesian Science Festival KATOWICE Rafal will show it on a few examples, discuss two Nobel Prizes, including one in game theory, which we are currently playing among ourselves, but … soon will start playing with artificial intelligence 🤹♂️ Join us this Saturday, 7th December. Starting at 1:10 PM. Click here for more info about 8th Silesian Science Festival KATOWICE. Presentation
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Our latest paper published in Travel Behaviour and Society💣
The latest publication with Arkadiusz Drabicki in collaboration with Oded Cats Has the COVID-19 pandemic affected travellers’ willingness to wait with real-time crowding information? is now available! 🚍 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 ⬅️
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Some thoughts on Polish science
🎤 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. 🎤 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 don’t wait and register for our tutorial. Reach out for more info
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Our 'envoys' are already in Toulouse
🚗🚗🚗 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 👈
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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 🏃♂️ 🏃♀️ 🏃♂️ 🏃♀️ - 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. 🚕 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
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Officially as team members
1st of October we signed ✒️ Michal Bujak and Farnoud Ghasemi for our SUM project. This is the first day of the official cooperation with them as PhD Students. We are sure they both will bring added value 💡💡💡 to the team.
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Long long story... with a happy ending
This is a happy end of the super long story that started in 2020, with results and submission in 2021, followed with 2 rejections from journals, one rejection due to lack of reviewers and a lot of minor revisions. In this particular case we waited 3 years to publish our results, which can be now followed and developed in npj Sustainable Mobility and Transport. In this paper we proved that we can identify pooled rides of up to 14 people, with occupancies of 6 and more, with our hyper-pool algorithm. This while remaining attractive to all travellers (against private ride) and in many cases even competing with PT (in Amsterdam, where PT quality is excellent). Already 200 trip requests per 30-min batch (4000 trips per hour) in Amsterdam allows to identify high-occupancy hyper-pooled trips. 🔖 Our open access publication is available here!
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EWRL2024 is coming!
Soon at 17th European Workshop on Reinforcement Learning (October 28-30 2024) we will be talking about how autonomous vehicles with different behaviors may optimize their objectives and disrupt/enhance the traffic efficiency for the other drivers. You can’t miss it.
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Good news during holidays
Michal recently focuses on the optimisation of pricing in ride-pooling, specifically, he aims to capture the true heterogeneous nature of the population. We are proud to share that our first results in the topic have recently been published in Transportation! 🎉 The article ‘Ride-pooling service assessment with heterogeneous travellers in non-deterministic setting’ is available in open access. Good job, Michal! We encourage you to read 📖
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Farnoud's visit at TU Delft
Farnoud has completed his 3-months PhD visit at TU Delft! During his visit, he had the privilege of working directly with Professor Oded Cats and together they initiated a new research project. Huge thanks to Peyman Ashkrof, Ph.D. and Arjan de Ruijter for their assistance. Looking forward to work on the material that Farnoud created in Delft!