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.
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.
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.
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.
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.
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|This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871914.|
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