#JobAlert Our DTU Machine Learning for Smart Mobility group is recruiting 3 #PhDposition in exciting topics!! Take a look and apply ! 1) lnkd.in/eqQuiJT7 2) lnkd.in/eZxybAxU 3) lnkd.in/ersgsBZA #MachineLearning #publictransport #simulation #behaviour #traffic #autonomousdriving

The new issue of our newsletter is available Check out what's happening! recife.univ-eiffel.fr/newsletterSort…

We are looking into the dynamics between emotions, mental process and travel decision making; we reviewed some of the existing work, available here tandfonline.com/doi/full/10.10…. Stay tuned for the next one! @medicina_lisboa TU Eindhoven @sonja_haustein Mayara DTU Management

The next Trafikdage conference will be held next week in Aalborg, Denmark. Our group will present 4 interesting papers and @camara421 will be organizing an executive session titled “AI in modelling and managing traffic”. More details on the link below! mlsm.man.dtu.dk/mlsm-group-at-…

Mayara at Trafikdage talking about developing an activity-based model for Denmark which will be implemented in SimMobility, an open-source simulation framework. #trafikdage #demand #simulation

On the second day of #trafikdage, Victor Flensburg talks about using #MachineLearning for real-time prediction of origin-destination demand in rail with smart card (Rejsekort) and supply data. Co-authors: Carlos Lima Azevedo, Filipe Rodrigues, Fabrizio Cerreto Collaboration: DTU Banedanmark

Our team is ready for Fall 2022! We also launched our LinkedIn page (linkedin.com/company/machin…) so don't forget to follow us there too where we will be sharing more news about our research work! #MachineLearning #Mobility DTU Management

Another exciting SORTEDMOBILITY meeting, in Rome this time We are getting ready to share our first results, aiming to start with RailBelgrade2023!

This Thursday Christoffer Riis and Frederik Boe Hüttel will present their paper "Bayesian Active Learning with Fully Bayesian Gaussian Processes" at #NeurIPS2022 during poster session 5. Come and say hello😊You can find the paper and the code on the following link mlsm.man.dtu.dk/mlsm-at-neurip…

Co-authors: Francisco Antunes, Carlos Lima Azevedo, @camara421

Christoffer Riis and Frederik Boe Hüttel presenting their paper "Bayesian Active Learning with Fully Bayesian Gaussian Processes" at #NeurIPS2022😊 You can find the paper and the code here: mlsm.man.dtu.dk/mlsm-at-neurip…

Our group will be next week at the #Transportation Research Board Annual Meeting #TRB2023 TRB to present 3 papers and a talk on 'using #computervision to register patterns of #bicycle helmet use'. Join us if you are in D.C! Details in the link below: mlsm.man.dtu.dk/mlsm-group-at-…

Christopher Riis talking about "opening the #simulation box: towards explainable #metamodels for enhanced air traffic management performance assessment" at #trb2023 TRB

Last week, our group presented/co-authored 4 papers at #TRB2023, in Washington D.C. Check out below for more details including links to the papers! #TRBAM #MachineLearning #Transportation #Mobility mlsm.man.dtu.dk/mlsm-group-at-…

Together with our friends at Instituto Superior Técnico we are working on ML algos for #cycling #safety by studying subjective safety of different #urban environments. Would you like to help us? Answer our #survey on Perception of Cycling Safety: ushift.tecnico.ulisboa.pt/~ushift.daemon…

Renming Liu from our group is currently defending his PhD "Design, #Optimization and #Simulation of Tradable #Mobility Credits". We wish him all the best 😊🤞

Super happy and proud of Renming Liu, my first #PhD student! Bright future ahead. Thanks to Ravi (picture), Yu Jiang, David (NTU), Moshe Ben-Akiva and Siyu for working with us.

#celebration ²: for my 5th #anniversary at DTU and for the #graduation of the 2023 cohort of the #transport and #logistics MSc (congrats all!!)

thanks Biagio Ciuffo and the JRC for organizing and hosting us at #istdm23. super interesting session i chaired and thanks Anders Lassen, Renming Liu, Ravi Seshadri and Filipe Rodrigues for being behind 1 more contribution of DTU Machine Learning for Smart Mobility #ReinforcementLearning #roadpricing

Lorena Lahoz presenting her paper "#Attitudes and Latent Class Choice Models using #MachineLearning" at #hEART2023 Co-authors: @camara421, Georges Sfeir, Ioanna Arkoudi, Mayara Monteiro, and Carlos Lima Azevedo Paper: doi.org/10.48550/arXiv…