Abstract
The new Internet of Things/Everything (IoT/IoE) paradigm and architecture allows one to rethink the way Smart City infrastructures are designed and managed, but on the other hand, a number of problems have to be solved. In terms of mobility the cities that embrace the sensoring era can take advantage of this disruptive technology to improve the quality of life of their citizens, also thanks to the rationalization in the use of their resources. In Sii-Mobility, a national smart city project on mobility and transportation, a flexible platform has been designed and here, in this paper, is presented. It permits one to set up heterogeneous and complex scenarios that integrate sensors/actuators as IoT/IoE in an overall Big Data, Machine Learning and Data Analytics scenario. A detailed and complex case-study has been presented to validate the solution in the context of a system that dynamically reverse the traveling direction of a road segment, with all the safety conditions in place. This case study composes several building blocks of the IoT platform, which demonstrate that a flexible and dynamic set-up is possible, supporting security, safety, local, cloud and mixed solutions.
Highlights
Since the rapid spread of urbanization across the Western world in the 1950s, mobility has driven important aspects for growth and progress
At the beginning mobility gave people the freedom to move around with new means of transportation, independently from where they live or they work, while today due the strong linkage of traffic and communication systems and the fact that the infrastructure is stressed to its limits, it is essential to think about alternative, dynamic routes and paths and more efficient/optimized transportation systems
This paper presents the work performed on defining a smart city architecture to enable the integration and implementation of a set of different and heterogeneous scenario for the Internet of Things (IoT)/Internet of Everything (IoE)
Summary
Since the rapid spread of urbanization across the Western world in the 1950s, mobility has driven important aspects for growth and progress. IoT architectures can be described as independent IoT ecosystems that can be physical, virtual or a hybrid mix of the two They consist of a list of active physical devices, sensors, actuators, services, communication protocols and layers, final users, developers and interface layers. This paper presents the work performed on defining a smart city architecture to enable the integration and implementation of a set of different and heterogeneous scenario for the IoT/IoE paradigm in the context of mobility and transport, where the accent on safety critical aspects is relevant. A set of requirements and use cases are discussed and addressed, and a complete experiment is detailed: a smart modality to manage a dynamic management of direction of a one-way road segment, including dynamic signage and corresponding synchronizations This example employs the use of several modules of the architecture and puts in evidence how a local solution can be implemented beside a complete cloud architecture, respecting the safety critical constraints. The problem and the solution are explained to catch the value of having a complete platform from the sensing/actuating activities towards a programmable environment where the city operators can implement their strategies [10], in a fully distributed manner
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