CARTO selected for AI4Cities Phase 2 Sustainable Mobility Project

Summary

We are pleased to announce that we have been selected to participant in phase 2 of AI4Cities, a project to help cities accelerate their transition towards carbon neutrality

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CARTO selected for AI4Cities Phase 2 Sustainable Mobility Project

Last year six leading European cities came together to form AI4Cities  an EU-funded Pre-Commercial Procurement (PCP) project. The three-year EU-funded project was established in order to find artificial intelligence (AI) solutions to accelerate carbon neutrality.

Following the launch of the Request for Tenders last December  AI4Cities received a total of 97 tenders - 54 in the mobility challenge and 43 within energy. In May we were pleased to announce that CARTO had been selected to continue to Phase 1 of the project  the Solution Design Phase.

Today we are very excited to announce that CARTO has been further selected to take part in Phase 2 of the project and have the opportunity to work on a prototype of our mobility solution proposed within the previous phase.

AI4Cities is one of those projects that can really have an impact on our lives. People often talk about sustainability and climate change, but they tend not to take any actions; moving between alarmist and denier. We are data people that know about the power of our technology and have a deep understanding of data, both of which can make real improvements in people’s lives. We love that and that’s what we will continue to do.

Héctor García, Director of Business Development & Strategy at CARTO.

With over 70% of EU citizens now living in urban areas  traffic congestion and inefficient transport systems still persist across the continent and account for 24% of GHG emissions in European cities. AI technologies have already proven they can help optimize traditional transport systems and processes to have a more positive (potential) impact on the environment.

FutureUrbanMobility

Our selected solution is entitled ‘FutureUrbanMobility’ which optimizes the incorporation of new shared mobility modes (micro-mobility) and active mobility into urban mobility planning. Powered by Location Intelligence and Machine Learning  the solution simulates the best location of micro-mobility services  supports decision making based on advanced predictive models for emissions and air quality  and improves the quality of experience for users through gamification techniques.

Photo by Mariusz Pierog on Unsplash


We were one of the 21 suppliers initially selected for the mobility challenge  allowing us to create a solution concept and work on a full plan for the development of a prototype. We are very excited that as one of 10 further shortlisted suppliers we now will have the opportunity to actually develop this prototype in close cooperation with the AI4Cities partners.

The AI4Cities partners consist of lead procurer Forum Virium  representing the City of Helsinki  Cap Digital  representing Paris Region  the City of Amsterdam  the City of Copenhagen  the City of Tallinn  and the City of Stavanger.

For more information about the AI4Cities project view the introduction video below:

 

EU Flag This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 960401.