Paper Info
Title
Quantify resilience enhancement of UTS through exploiting connect community and internet of everything emerging technologies.
Abstract
This work aims at investigating and quantifying the Urban Transport System (UTS) resilience enhancement enabled by the adoption of emerging technology such as Internet of Everything (IoE) and the new trend of the Connected Community (CC). A conceptual extension of Functional Resonance Analysis Method (FRAM) and its formalization have been proposed and used to model UTS complexity. The scope is to identify the system functions and their interdependencies with a particular focus on those that have a relation and impact on people and communities. Network analysis techniques have been applied to the FRAM model to identify and estimate the most critical community-related functions. The notion of Variability Rate (VR) has been defined as the amount of output variability generated by an upstream function that can be tolerated/absorbed by a downstream function, without significantly increasing of its subsequent output variability. A fuzzy-based quantification of the VR based on expert judgment has been developed when quantitative data are not available. Our approach has been applied to a critical scenario as flash flooding considering two cases: when UTS has CC and IoE implemented or not. However, the method can be applied in different scenarios and critical infrastructures. The results show a remarkable VR enhancement if CC and IoE are deployed.
Year
DOI
Venue
2017
10.1145/3137572
ACM Trans. Internet Techn.
Keywords
DocType
Volume
Functional Resonance Analysis Method, Fuzzy Logic, Resilience
Journal
abs/1708.03529
Issue
ISSN
Citations 
1
1533-5399
2
PageRank 
References 
Authors
0.37
16
3
Name
Order
Citations
PageRank
Emanuele Bellini12912.15
Paolo Ceravolo225244.89
Paolo Nesi356995.18