7 Practical Applications of Artificial Intelligence in Urban Management

Original article can be found here (source): Artificial Intelligence on Medium

7 Practical Applications of Artificial Intelligence in Urban Management

The use of artificial intelligence (AI) is based on the idea of ​​optimizing, streamlining and expanding the reach of the most diverse operations. Their systems are programmed to identify patterns and carry out predictions, decisions, and ultimately perform and actions with speed and accuracy. The efficiency of the models depends on the quantity and quality of the data, which can be obtained by applications, cameras, and sensors. In the urban context, technology based on the use of artificial intelligence has been seen as a way to improve the management of cities, especially those that are denser and have larger footprints. Artificial intelligence is often associated with the concept of smart cities. Although their definitions are not unified, these cities have common features in theory and practice, such as the use of management strategies and technologies that aim to increase the quality of life of citizens and create greater efficiencies in resources and services. Often, terms like big data, artificial intelligence, machine learning, and the internet of things (IoT, Internet of Things ), among others, are associated with these strategies. In this context, artificial intelligence, improvement of urban systems, and city management can be closely linked to each other. But it is also necessary to recognize the real needs of the inhabitants of cities, and how AI can act to improve urban conditions. Community involvement is also necessary so that people can trust the systems and take the necessary steps to correct possible errors. The projects below are potential applications of artificial intelligence systems that are either in trial phases or already in operation. These systems all aim to improve the management of urban systems. From robots able to offer information to passengers at stations and transportation points to operating systems that optimize bus networks with real-time timesheets based on data such as passenger volume and number of daily trips per line, artificial intelligence has been applied frequently in the public transport system in cities.

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