During the second phase of the AI4Cities project, four solutions have been prototyped to answer Paris Region’s challenges. Hosted in three different cities, Aulnay-sous-Bois, Issy-les-Moulineaux and Saint-Maur-des-Fossés, the selected innovative solutions address exclusive needs identified by the cities in terms of energy and mobility.

The AI-based solutions are firstly expected to meet the cities objectives in terms of GHG emissions management to reach carbon neutrality, but also to have concrete impacts towards their public policies. The tools developed aim at providing solid knowledge of the cities’ buildings stock and/or mobility habits, in order to define and specify the strategic decisions to make. The benefits of the solutions can lead directly to the identification of retrofitting opportunities, which can be undertaken and monitored in terms of direct impacts. Mobility-related solutions can also provide real-time analysis of the citizens’ mobility habits to define and drive the urban planning.

Cities and start-up collaborations are on track and will lead to positive results for both sides.

BuildingConnectTM by HEROES uses AI & Data Analytics to centralize the data of all non-residential buildings and offer key insights to undertake retrofitting opportunities, reducing their energy consumption and thereby their CO2 footprint.

INSIGHT SIGNALS uses digital twin technology to analyze and plan urban mobility. The solution is user-centric and aims at recording the daily urban travels in order to map and evaluate the GHG emissions generated by sector and by travel modes. The final objective is to influence the strategic decisions to be undertaken towards urban planning.

The solution C-in.City developed by NEXQT, La Javaness and Kayrros uses both innovative 3D modeling techniques (machine learning, computer vision etc.) and a large data sourcing to map GHG urban emissions. The double objective is to support the city with its daily climate budget management and bring concrete information to all public and professional stakeholders taking part in the efforts towards carbon neutrality. As NEXQT notes “Our main objectives are (1) to support the city in its daily climate budget management (target, act and measure impacts) and (2) to bring concrete solutions to civil and professional stakeholders who want to contribute to climate neutrality.”

Ix3 aka Intelligent interconnected intersections developed by MarshallAI combines machine vision sensoring and cameras directly connected to traffic lights. The solution enables precise and dynamic traffic light management which results in the optimization of the traffic flows while providing detailed and accurate traffic data for GHG emissions reduction.