Description: Smart cities are urban areas that integrate advanced technologies, especially artificial intelligence (AI), to efficiently manage resources and improve the quality of life for their residents. These cities use mobile devices and connected sensors to collect and analyze real-time data, allowing for the optimization of services such as transportation, energy, security, and waste management. AI in mobile devices plays a crucial role, enabling citizens to interact with urban infrastructure more effectively, facilitating communication with authorities and access to relevant information. The main characteristics of smart cities include connectivity, sustainability, and citizen participation. Connectivity refers to the network of devices and sensors that collect data, while sustainability involves the efficient use of resources to minimize environmental impact. Citizen participation is encouraged through various platforms and applications that allow residents to report issues, access services, and participate in decision-making. In summary, smart cities represent an innovative approach to addressing contemporary urban challenges, using technology to create more livable and efficient environments.
History: The concept of smart cities began to take shape in the 1990s when information and communication technologies started to be implemented in urban management. However, it was in the 2000s that the term ‘smart city’ gained popularity, driven by advances in mobile technology and Internet connectivity. In 2008, the International Telecommunication Union (ITU) published a report defining smart cities and their characteristics. Since then, many cities around the world have adopted this approach, implementing technological solutions to improve the quality of life for their residents.
Uses: Smart cities use artificial intelligence in various applications, such as traffic management, energy consumption optimization, public safety improvement, and waste management. For example, traffic management systems use real-time data to adjust traffic signals and reduce congestion. In the energy sector, various applications allow citizens to monitor their consumption and receive recommendations to reduce it. Additionally, public safety platforms can analyze behavior patterns to prevent crime and improve emergency response.
Examples: Examples of smart cities include Barcelona, which has implemented an AI-based traffic management system, and Singapore, which uses sensors to optimize water and energy usage. In New York, various applications have been developed that allow residents to report issues in urban infrastructure, such as potholes or streetlights being out, thus facilitating citizen participation in city management.
