The Finnish companies MarshallAI ja Dynniq will pilot a solution which focuses on reducing CO2 emissions in the field of mobility. The solution developed by Eeneman and Metropolia University of Applied Sciences focuses on reductions in the energy sector.
The AI4Cities project has chosen the prototypes to be piloted in European cities, starting this spring. Companies have developed AI-based solutions which contribute to the reduction of CO2 emissions. AI4Cities has reserved a total of 1,45 million euro for the consortia to do their pilots.
These AI-based solutions will focus on reducing CO2 emissions in the energy domain (pilots in Helsinki, Amsterdam, Copenhagen, Paris and Stavanger):
- BEE, developed by Eeneman, Metropolia University of Applied Sciences (Finland) and Unetiq (Germany). The solution combines several technologies to connect buildings with the energy grid and their environment and to optimise their overall emissions impact.
- C-In. City, developed by Kayrros, La Javaness and Nexqt (France). The solution empowers citizens by providing them with near real-time transparent information on how they can reduce their emissions, enabling policy makers to design the most effective and actionable policy options.
- Holoni, developed by Alphaventuri (Norway) and Energinet (Denmark). The solution leverages AI beyond the prediction of solar production and predicts how much solar surplus can be generated from positive energy buildings.
- SPIKE, developed by Enerbrain (Italy). A cloud-based software/hardware platform supporting data exchange with proprietary IoT-enabled devices and communication with other IoT devices/platforms.
These AI-based pilots will focus on reducing CO2 emissions in the mobility domain
(pilots in Helsinki, Amsterdam, Paris, Stavanger and Tallinn):
- Avenue, developed by Nommon and Populus (Spain). The solution aims to predict the impact of shared mobility services on urban transport GHG emissions.
- Ix3, developed by MarshallAI and Dynniq (Finland). The solution works by taking data from traffic cameras and from other traffic sources and integrates it into the city’s traffic light system. In doing so, it increases traffic fluency and decreases unnecessary stops.
- MPAT tool, developed by Vianova (France) and Rebel Ticketing (the Netherlands). An engine to optimise the CO2 emission-reduction potential of city mobility policies, with a focus on shared micro-mobility.
Project Manager Kaisa Sibelius from Forum Virium Helsinki is highly satisfied with the quality of the selected.
“The solutions are diverse, innovative and efficient at reducing CO2 emissions. In addition, they have a great potential for replicability and scalability. They address gaps in some of the fastest growing markets in Europe and beyond. This was very important to us, as we want these solutions to be implemented beyond our project cities.”
The companies participating in the AI4Cities project have gone through a process which started in the planning phase and will now move on to the piloting phase. The project launched a call for tenders in December 2020. Nearly one hundred companies from all over Europe submitted their tenders. The best solutions have been selected to continue in each phase of the project.
See the website for more information: ai4cities.eu