Our mission is to develop cutting edge research in both Machine Learning and Transport Research fields. Our belief is that, by its complexity and real-world impact, mobility is an excellent area to develop new ML methodologies, eventually applicable to other fields. We also believe that, only when one is truly engaged with the domain (and its theory), it is possible to advance science and technology in a consistent way. It is for this reason that our publication record combines articles in top Machine Learning venues (such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, AAAI, ICML, and many more to come) as well as in the main Transport Research ones (IEEE Transactions on ITS, Transport Research Part C, Journal of ITS and others).
The two other fundamental MLSM components to mention relate with Simulation and Optimization. The former plays a key role in transport and urban models, because it is the natural way to explicitly include behavior models (demand) and try new smart mobility services (supply). Finally, optimization is an essential ingredient for the adaptive transport system that we need in our world. While we also have expertise in the field, we strongly rely on collaboration, towards the ultimate goal of predictive optimization.
Company Details
- Employees
- 2
- Address
- Kongens Lyngby, 2800, Dk
- Industry
- Higher Education
- NAICS
-
Colleges, Universities, and Professional Schools
- Website
- http://mlsm.man.dtu.dk
- Keywords
- (supply). Finally.
- HQ
- Kongens Lyngby
- Competitors
- DataWrk, Intelligent Transportation Systems, LLC, DTU Management, Transportation Research Board, DTU Management - Cycling and Micromobility, StandUp for Energy, Maritime Research & Innovation Lab (MarRI-Lab), Transportation Systems Modelling, Ariel Wimasor Traffic and Parking Control, Faculty of Civil & Environmental Engineering Technion.
Dtu - Intelligent Transportation Systems Questions
Dtu - Intelligent Transportation Systems's website is http://mlsm.man.dtu.dk
Dtu - Intelligent Transportation Systems's LinkedIn profile is https://dk.linkedin.com/company/machine-learning-for-smart-mobility
Dtu - Intelligent Transportation Systems has
2 employees.
View email and phone details for 2
employees at Dtu - Intelligent Transportation Systems.
Dtu - Intelligent Transportation Systems's industry is
Higher Education
Dtu - Intelligent Transportation Systems's top competitors are
Datawrk,
Intelligent Transportation Systems, Llc,
Dtu Management,
Transportation Research Board,
Dtu Management - Cycling And Micromobility,
Standup For Energy,
Maritime Research & Innovation Lab (Marri-Lab),
Transportation Systems Modelling,
Ariel Wimasor Traffic And Parking Control,
Faculty Of Civil & Environmental Engineering Technion.
Dtu - Intelligent Transportation Systems's categories are Higher Education
