CARTO selected by AI4Cities to accelerate City Sustainability

82% of all greenhouse gas emissions in European cities are a consequence of mobility and energy. In order to reduce CO2 emissions  meet their climate commitments  and accelerate their transition towards carbon neutrality six leading European cities have come together to form AI4Cities  an EU-funded Pre-Commercial Procurement (PCP) project.

We are delighted to announce that we have been selected to continue to Phase 1 of the project (Solution Design) within the field of mobility  an area in which we have considerable experience helping Smart Cities to move away from traditional methods and analyze new data for a greener future.

About AI4Cities

AI4Cities is a three-year EU-funded project bringing together leading European cities looking for artificial intelligence (AI) solutions to accelerate carbon neutrality. Helsinki (Finland)  Amsterdam (Netherlands)  Copenhagen (Denmark)  Paris Region (France)  Stavanger (Norway)  and Tallinn (Estonia) are the six European cities and regions that are asking suppliers to provide AI solutions for mobility and energy challenges.

These six cities and regions have developed ambitious strategies and policy plans to become carbon neutral by – at the latest – 2050. With AI4Cities they have joined forces  supported by expert partner ICLEI – Local Governments for Sustainability  to undertake a PCP process  aiming to procure non-market ready solutions which can help them accelerate their transition to carbon neutrality by utilizing artificial intelligence and related enabling technologies – such as big data applications  5G  edge computing  and IoT.

   {% include icons/icon-quotes.svg %}    The selected solutions address the varied challenges of the participating cities and highlight the potential of AI to contribute to more sustainable cities in many different ways
       Kaisa Sibelius  Coordinator of the AI4Cities project at Forum Virium.    

Within the mobility challenge three sub-challenges were identified as Mobility-as-a-Service (MaaS)  Traffic Flow Optimization  and Logistics Optimization.

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.

   {% include icons/icon-quotes.svg %}    We hope that the solutions under development will address and eventually solve several problem areas such as underutilized data sources  poor real-time traffic analysis  lack of truly multimodal mobility platforms and as a result reduce CO2 levels in city hotspots
       Mart Brauer  Project Manager for The City of Tallinn.    

Want to see Smart City solutions in action?

Request a live personalized demo

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