SMART CITY SOLUTIONS
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Artificial intelligence (AI) refers to the use of advanced algorithms and machine learning techniques to analyse vast amounts of data generated by various sensors and connected devices, to optimize and automate urban systems and services. From infrastructure and transportation to public safety and environment, AI has the potential to enable a wide range of innovative and efficient solutions for the cities of the future.
The integration of AI in smart cities offers a range of advantages – more effective management of energy and water resources, better waste disposal, reduced levels of pollution, noise and traffic congestion. It can play a crucial role in urban planning and management, offering advanced security systems, traffic monitoring and waste management, all contributing to enhancing community security and greater control over residential areas. According to estimates, AI will power more than 30% of smart city applications by 2025, delivering smart urban solutions that boost resilience, sustainability, social welfare, and vitality of urban life. In its briefing, the European Parliament has identified seven dimensions of AI applications in smart cities: governance, including urban planning, disaster prevention and management, and tailored subsidy provision; living and liveability, safety and security, with applications such as smart policing, personalised healthcare, and noise and nuisance management; education and citizen participation offering locally accurate, validated and actionable knowledge to support decision making; economy, enabling resource efficiency, improved competitiveness and tailored solutions for customers through efficient supply chains and sharing services; mobility and logistics, delivering autonomous and sustainable mobility, smart routing and parking, supply chain resiliency and traffic management; infrastructure, optimising infrastructure deployment, use and maintenance covering areas such as waste and water management, transportation, energy grids and urban lighting; environment, supporting biodiversity preservation, urban farming and air quality management.