Mobility
“The EU is hitting the limits in the US system it's modeled after”
Research
EPFL
Policymakers need to reconsider the European Union’s heavy promotion of cross-border mobility if they want to preserve cohesion among member states, according to a new book by three researchers drawing on urban sociology studies carried out at EPFL.
How electric cars help to reduce electricity imports
Research
Empa
Swiss electricity generation has a very low carbon footprint. However, this is often not the case for imports. Researchers from the National Centre of Competence in Research (NCCR) Automation, led by Empa researcher Loris di Natale, investigated how electric cars could help reduce the need for energy imports from fossil fuels.
Transport pricing in practice
Research
ETH Zurich
In the largest worldwide pricing experiment to date, researchers have demonstrated that road users change their behavior when they must pay for the social and environmental effects of their transportation. The study was led by researchers from the University of Basel, ETH Zurich and ZHAW.
Charging stations can combine hydrogen production and energy storage
Research
EPFL
EPFL scientists have developed a new system that addresses two top priorities of the energy transition: clean hydrogen production and large-scale energy storage. Their technology could be particularly useful in transportation applications.
EPFL now has its own Hyperloop test track
Teaching
EPFL
Engineers at EPFL’s DESL lab, working in association with EPFL spin-off Swisspod, have built a Hyperloop test track on the Lausanne campus. They will use the loop – a large vacuum tube for ultra-high-speed travel – to test a linear induction motor. The research is being funded by an Innosuisse grant.
Automobile class society
TechTransfer
Empa
Up to now passenger cars are classified by experts in each country into categories such as micro, small, middle, upper middle, large and luxury class. But this old fashioned method has limitations in terms of compatibility. Moreover, some crossover vehicles are difficult to categorize. Empa scientists found a method to do this sorting fairly and in an efficient way by browsing databases with machine learning methods.
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