Adapting driver behaviour for lower emissions
YEARS
European partners
international partners
pilot sites
MODALES vision is to substantially reduce air pollution from all types of on-road vehicles by encouraging the adoption of low-emission driving behaviour and proper maintenance choice.
MODALES proposes a user-centric approach to addressing all of the challenges which on the one hand enhance low-emission practices and on the other hand suppress high-emission behaviour by researching, developing and testing a number of innovative and complementary solutions in four key areas (namely, Driver, Retrofits, EOBD and Inspection) in order to substantially reduce vehicle emissions from three main sources (i.e. powertrain, brake wear and tyre wear).
MODALES has published its final results in the four focus areas addressed by the project. Discover them below!
Videos
News
Southeast University (Nanjing) presents MODALES work on NOx emission states at the ITS World Congress 2023
The recent ITS World Congress which took place in Suzhou, China, in October 2023 provided a platform for MODALES to showcase its work on the issue of NOx (Nitrogen Oxides) emissions from heavy...
MODALES showcased at the ITS European Congress 2023
MODALES was present at the 2023 ITS European Congress with two technical paper presentations, a booth at the ERTICO stand and a presentation in a Special Interest Session (SIS). This major event for...
MODALES Final Conference: project wrap-up marks a key milestone on the road to greener driving
Launched in 2019, the ERTICO-led MODALES project had the vision to substantially reduce air pollution from petrol and diesel vehicles. The 18 partners of the project worked together for 45 months to...
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MODALES is the first major project considering the interaction of powertrain, brakes and tyres together with the driver’s behaviour, to develop knowledge and guidance for “low-emission driving”, together with maintenance and retrofit aspects.
Our Partners
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 815189.