ABSTRACT
The concept of smart cities is evolving and adapting to new applications; the trend to create intelligent neighbourhoods, districts, cities, or territories is becoming increasingly popular, as opposed to the previous approach of managing an entire megacity. In this chapter, a new platform is presented, and its architecture and functionalities are described. Moreover, its operation has been validated in a case study where the bike-renting service of Vélib’ Métropole, Paris, has been managed. This platform could enable smart cities to develop adapted knowledge management systems, adapt them to new requirements and to use multiple types of data, and execute efficient computational and machine learning algorithms. The platform optimises the decisions taken by human experts through explainable AI models that obtain data from IoT sensors, databases, the internet, and so on for efficient and effective urban management. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced data-processing techniques.
