Project description
New tools to analyse data for smart city planning
Global population projections show that more than two thirds of the population – 6.5 billion people – will be living in urban areas by 2050. To prevent uncontrolled urbanisation, one of the United Nations Development Programme's goals is to promote the sustainable growth of urban areas. Smart urban planning and scalable methods require efficient instruments that can analyse large amounts of data over time. The EU-funded AI4SmartCities project will work to generate professional solutions for very high resolution geospatial and social–economic indicators for smart city planning and management. To that end, it will extend the already developed artificial intelligence algorithms and big Earth observation data management properties to very high resolution data for smart city solutions and prepare the software for commercialisation.
Objective
It is estimated that by 2050, 68% of the world population will live in urban areas, according to the United Nations. With the accelerated rhythm of population growth, the expected number of urban citizens in 2050 is close to 6.5 billion (compared to 4.2 billion nowadays). Uncontrolled urbanization raises a significant problem, the topic of the United Nations Development Programme Goal 11: ensuring sustainable and safe growth of urban areas. This project therefore addresses a global problem. To enable smart urban planning and scalable methods for example to predict the risk of structural degradation or damage to city buildings, it is essential to create efficient tools that can analyse large amounts of data, over time (4D), to create comprehensive global urban maps. The continuous expansion of data sets poses a significant problem for data analytics for global smart urban planning: we currently lack solutions that can generate useful insights from the data.
In this PoC project, I aim to extend the AI algorithms and the big Earth observation data management features developed in the ERC Starting grant to very high resolution data for Smart City applications and offer our software as a commercial, integrated service. Within the PoC, a comprehensive business case that will assist us in designing an exploitation strategy will be developed. Achieving these objectives will advance our AI solution for Smart City from a technology readiness level (TRL) of 4 to 6.
Our value proposition in AI4SmartCities is a set of professional solutions for very high resolution geo-spatial and social-economic indicators for Smart City planning and management by retrieving them from big EO data using AI. For example, high resolution building footprint map, urban building change map, and traffic flow map. Supporting the abovementioned solutions is an easy-to-use, interactive big EO data analysis platform.
Fields of science
Programme(s)
Funding Scheme
ERC-POC - Proof of Concept GrantHost institution
80333 Muenchen
Germany