The ever increasing pace of IoT deployment is opening the door to concrete implementations of smart city applications, enabling the large-scale sensing and modeling of (near-)real-time digital replicas of physical processes and environments. This digital replica could serve as the basis of a decision support system, providing insights into possible optimizations of resources in a smart city scenario. In this article, we discuss an extension of a prior work, presenting a detailed proof-of-concept implementation of a Digital Twin solution for the Urban Facility Management (UFM) process. The Interactive Planning Platform for City District Adaptive Maintenance Operations (IPPODAMO) is a distributed geographical system, fed with and ingesting heterogeneous data sources originating from different urban data providers. The data are subject to continuous refinements and algorithmic processes, used to quantify and build synthetic indexes measuring the activity level inside an area of interest. IPPODAMO takes into account potential interference from other stakeholders in the urban environment, enabling the informed scheduling of operations, aimed at minimizing interference and the costs of operations.
The continuous evolution of IT (information technology) technologies is radically transforming many technical areas and social aspects, also reshaping the way we behave and looking for entertainment and leisure services. In that context, tourism experiences request to enhance the level of user involvement and integration and to create an ever more personalized and connected experience, by leveraging on the differentiated tourist services and information locally present in the territory, by pushing active participation of customers, and by taking advantage of the ever-increasing presence of sensors and IoT (Internet of Things) devices deployed in many realities. However, the deep fragmentation of services and technologies adopted in tourism context characterizes the whole information provided also by customer sensing and IoTs (Internet of Things) heterogeneity and deep clashes with an effective organization of smart tourism. This article presents APERTO5.0 (an Architecture for Personalization and Elaboration of services and data to Reshape Tourism Offers 5.0), an innovative architecture aiming at a whole integration and deep facilitation of tourism service and information organization and blending, to enable the re-provisioning of novel services as advanced aggregates or re-elaborated ones. The proposed solution will demonstrate its effectiveness in the context of Smart Tourism by choosing the real use case of the “Francigena way” (a pilgrim historical path), the Italian part.
The fast-paced evolution of ICT technology is revolutionizing our every day life, endowing us with a seamless digital assistant accessible through smart-devices. In this context, even the way we approach tourism and holidays has undergone many changes. In fact, most of us nowadays exploit smart devices to plan, book and manage the experience. This different approach to tourism is often called Smart Tourism and it is acquiring more and more importance for business, public administrations, and tourists themselves. The idea behind our proposal is to further enhance existing structure and services of a city, promoting and encouraging the smart tourism concept while satisfying the ever increasing necessity, dynamicity and stringent Quality of Service (QoS) requirements future application scenarios embody. To this end, we propose a conceptual architectural model following a Mobile Edge Computing (MEC) approach, exploiting virtualization and multiple geographically distributed Function as a Service (FaaS) edge clouds equipped with storage capabilities. While preserving the general aspect of our study and without loss of generality, we envision a reference scenario where users consume and produce data that are geographically bound to a location of interest. This modus operandi could help unlock smart tourism potential, focusing on local communal phenomena, harvesting socio-technical data which would otherwise not be possible on a global scale through traditional centralized information systems. Along with the proposal, we discuss some preliminary evaluation of the envisioned platform, outlining some research directions.
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