Sii-Mobility: An IoT/IoE Architecture to Enhance Smart City Mobility and Transportation Services

TLDR

The IoT/IoE paradigm enables rethinking smart‑city mobility infrastructure, offering resource rationalization and quality‑of‑life improvements, though it introduces new challenges. This paper presents Sii‑Mobility, a flexible national smart‑city platform for mobility and transportation. The platform supports heterogeneous, complex scenarios by integrating sensors/actuators with Big Data, machine learning, and analytics, and is validated through a case study that dynamically reverses a road segment’s direction while ensuring safety. The case study demonstrates that the platform enables a flexible, dynamic setup that supports security, safety, and local, cloud, and hybrid solutions.

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.