A Multilevel Modelling Approach for Tourism Flows Detection

Application development in the Internet of Things (IoT) faces various issues such as lack of separation of concerns and lack of high-level abstraction to address its large scale and heterogeneity. MDE supports the management of this heterogeneity raising the level of abstraction and thanks to its core operations. Multilevel modelling makes it possible to extend MDE techniques to more than two meta-levels permitting model elements to have a dual type-instance dimension, making it particularly suitable for this application domain. People flow monitoring and detection is one of the hot topics in smart cities projects. In this paper, we exploit MDE techniques, through multilevel modelling approaches, to design the infrastructure supporting a solution part of a comprehensive project related to urban informatics. Moreover, even if we target the people flow monitoring and detection scenario, the provided multilevel approach is open and extensible to further IoT scenarios, to specifically manage the evolutionary nature of the IoT.