Angelo Furno

Angelo Furno
University of Lyon · IFSTTAR-ENTPE

PhD

About

49
Publications
7,132
Reads
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449
Citations
Citations since 2016
39 Research Items
409 Citations
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2016201720182019202020212022020406080100
2016201720182019202020212022020406080100
Introduction
Angelo Furno currently works at the IFSTTAR-ENTPE, University of Lyon. Angelo does research in the application of computer science solutions (machine learning, big data technologies, distributed computing) to mobility engineering and transportation systems.
Additional affiliations
November 2014 - present
Institut National des Sciences Appliquées de Lyon
Position
  • PostDoc Position
May 2014 - October 2014
Università degli Studi del Sannio
Position
  • PostDoc Position
Description
  • Service Computing, Mashup technologies for service composition, P2P Computing, Social Network analysis.
March 2011 - July 2014
Università degli Studi del Sannio
Position
  • PhD in Information Engineering
Description
  • Distributed Approaches for Scalable and Autonomic Service Composition. P2P Computing, Self-aware Systems, Service Computing, SOA, Graph Analysis, Social Networking.
Education
March 2011 - July 2014
Università degli Studi del Sannio
Field of study
  • Information Engineering, Information Technologies

Publications

Publications (49)
Article
Full-text available
Transportation networks are sized to efficiently achieve some set of service objectives. Under particular circumstances, such as the COVID-19 pandemic, the demand for transportation can significantly change, both qualitatively and quantitatively, resulting in an over-capacitated and less efficient network. In this paper, we address this issue by pr...
Article
Full-text available
Continuous data streams, generated by modern sensed cities, open many opportunities and perspectives in terms of developing new innovative services. To exploit this potential, flexible and scalable platforms are needed to ease the design, development, deployment, and operations of new city services. In recent years, several problem-specific platfor...
Preprint
Full-text available
Urban areas have been dramatically impacted by the sudden and fast spread of the COVID-19 pandemic. As one of the most noticeable consequences of the pandemic, people have quickly reconsidered their travel options to minimize infection risk. Many studies on the Bike Sharing System (BSS) of several towns have shown that, in this context, cycling app...
Article
Full-text available
This article presents a method to uncover universal patterns and similarities in the urban road networks of the 80 most populated cities in the world. To that end, we used degree distribution, link length distribution, and intersection angle distribution as topological and geometric properties of road networks. Moreover, we used ISOMAP, a nonlinear...
Article
Urban transport networks, yet essential, are frequently impacted by recurrent disruptions such as public transport failures, adverse weather or strikes. Flexible transit systems can be used to limit the impacts of recurrent disruptions on urban mobility. In this study, we examine the potential of on-demand park-and-ride systems to complement an exi...
Article
Continuous data streams, generated by modern sensed cities, open many opportunities and perspectives in terms of developing new innovative services. To exploit this potential, flexible and scalable platforms are needed to ease the design, development, deployment, and operations of new city services. In recent years, several problem-specific platfor...
Article
Full-text available
In the last decade, humanity has faced many different pandemics such as SARS, H1N1, and presently novel coronavirus (COVID-19). On one side, scientists have developed vaccinations, and on the other side, there is a need to propose models that can help in understanding the spread of these pandemics as it can help governmental and other concerned age...
Article
Full-text available
With the recent and continuous growth of large metropolis, the development, management and improvement of their urban multi-modal transport networks become a compelling need. Although the creation of a new transport mode often appears as a solution, it is usually impossible to construct at once a full networked public transport. Therefore, there is...
Article
Full-text available
Call detail records (CDR) collected by mobile phone network providers have been largely used to model and analyze human-centric mobility. Despite their potential, they are limited in terms of both spatial and temporal accuracy thus being unable to capture detailed human mobility information. Network Signaling Data (NSD) represent a much richer sour...
Article
Datasets of mobile phone trajectories collected by network operators offer an unprecedented opportunity to discover new knowledge from the activity of large populations of millions. However, publishing such trajectories also raises significant privacy concerns, as they contain personal data in the form of individual movement patterns. Privacy risks...
Article
Full-text available
Spatiotemporal data, and more specifically origin-destination matrices, are critical inputs to mobility studies for transportation planning and urban management purposes. Traditionally, high-cost and hard-to-update household travel surveys are used to produce origin-destination flow information of individuals’ whereabouts. In this paper, we propose...
Article
Over the past few decades, the digitalization of services and infrastructures has led to the emergence of a broad set of new information sources to characterize human mobility. These sources usually offer valuable significant population penetration rates but may also suffer from important temporal sparsity. Data generated by user activity, such as...
Article
Full-text available
This paper proposes a framework to extract dynamic trip flows and travel demand patterns from large-scale 2 G and 3 G cellular signaling data. Novel data pre-processing techniques based on cell phone activity metrics are presented. The trip extraction method relies on the detection of stationary activities to form trip sequences related to resident...
Article
Full-text available
Nowadays a large amount of data is originated by complex systems, such as social networks, transportation systems, computer and service networks. These systems can be modeled by using graphs and studied by exploiting graph metrics, such as betweenness centrality (BC), a popular metric to analyze node centrality of graphs. In spite of its great pote...
Preprint
Full-text available
During the pandemic of COVID-19, the demand of the transportation systems are drastically changed both qualitatively and quantitatively and the network has become obsolete. In this article, we study the problem of finding an optimal subnetwork that guarantee that (i) the minimal access time from any node of the urban network to the new network is n...
Article
Full-text available
Betweenness Centrality (BC) has proven to be a fundamental metric in many domains to identify the components (nodes) of a system modelled as a graph that are mostly traversed by information flows thus being critical to the proper functioning of the system itself. In the transportation domain, the metric has been mainly adopted to discover topologic...
Preprint
Full-text available
Nowadays a large amount of data is originated by complex systems, such as social networks, transportation systems, computer and service networks. These systems can be modeled by using graphs and studied by exploiting graph metrics, such as Betweenness Centrality (BC), a popular metric to analyze node centrality of graphs. In spite of its great pote...
Chapter
Full-text available
With the recent and continuous growth of large metropolis, the development, management and improvement of their urban multi-modal transport networks become a compelling need. Although the creation of a new transport mode often appears as a solution, it is usually impossible to construct at once a full networked public transport. Therefore, there is...
Article
Transport networks are essential for societies. Their proper operation has to be preserved to face any perturbation or disruption. It is therefore of paramount importance that the modeling and quantification of the resilience of such networks are addressed to ensure an acceptable level of service even in the presence of disruptions. The paper aims...
Article
Full-text available
Mobile phone data collected by network operators can provide fundamental insights into individual and aggregate mobility of people, at unprecedented spatiotemporal scales. However, traditional call detail records (CDR) have fundamental issues because of low accuracy in both spatial and temporal dimensions, which limits their applicability for detai...
Conference Paper
Full-text available
Spatiotemporal data, and more specifically origin-destination matrices, are critical inputs to mobility studies for transportation planning and urban management purposes. In this paper, we propose a methodology to infer origin-destination (O-D) matrices based on passively-collected cellular signaling data of millions of anonymized mobile phone user...
Chapter
Node betweenness centrality is a reference metric to identify the most critical spots of a network. However, its exact computation exhibits already high (time) complexity on unweighted, undirected graphs. In some domains such as transportation, weighted and directed graphs can provide more realistic modeling, but at the cost of an additional comput...
Article
Full-text available
Disruptive events occur on road networks on a daily basis and affect traffic flow. Resilience analysis aims to assess the consequences of such disruptions by quantifying the ability of a network to absorb and react to adverse events. In this paper, we advance a methodological approach based on resilience stress testing and a dynamic mesoscopic simu...
Conference Paper
Full-text available
Betweenness centrality is a widely adopted metric to analyze the impact of critical nodes of graphs in several domains (social, biological, transportation, service, computer networks). Its exact computation is very demanding due to an O(nm) time complexity on a graph with n nodes and m edges. This represents an obstacle to the adoption of betweenne...
Article
Full-text available
Urban landscapes present a variety of socio-topological environments that are associated to diverse human activities. As the latter affect the way individuals connect with each other, a bound exists between the urban tissue and the mobile communication demand. In this paper, we investigate the heterogeneous patterns emerging in the mobile communica...
Article
In the next few years, mobile networks will undergo significant evolutions in order to accommodate the ever-growing load generated by increasingly pervasive smartphones and connected objects. Among those evolutions, cognitive networking upholds a more dynamic management of network resources that adapts to the significant spatiotemporal fluctuations...
Conference Paper
Mobile traffic data has been recently used to characterize the urban environment in terms of urban fabric profiles. While showing promising results, the existing urban fabric detection solutions are built without a clear understanding of the detection process chain. In this paper, we distinguish and analyze the different steps common to all urban p...
Article
Full-text available
We propose an efficient technique for improving the performance of automatic and cooperative compositions in unstructured Peer-to-Peer networks during service discovery. The technique exploits a probabilistic forwarding algorithm that uses different sources of knowledge, such as network density and service grouping, to reduce the amount of messages...
Article
Full-text available
Service-based systems are usually conceived and executed in highly dynamic environments, characterized by complex and continuously evolving users’ requirements and surrounding conditions. To address this dynamicity, these systems should be designed keeping in mind the different execution contexts where they could be used. This typically impacts ser...
Conference Paper
Full-text available
Unstructured peer-to-peer (P2P) architectures offer several benefits to implement semantic discovery and composition in future-generation service registries. However, their success strongly depends on the adoption of efficient techniques for disseminating semantic queries over the network. Gossip strategies significantly reduce the amount of messag...
Conference Paper
Event-driven programming is progressively replacing the call-stack model to improve flexibility, efficiency and scalability in SOA. Enterprise applications often deal with large messages attached to asynchronous events. This could reduce the benefits provided by event-driven programming since the need for having every information propagated as even...
Conference Paper
Full-text available
In this paper, we propose an efficient technique for improving the performance of automatic and cooperative compositions in P2P unstructured networks during service discovery. Since the adoption of flooding to exchange queries and partial solutions among the peers of unstructured networks generates a huge amount of messages, the technique exploits...
Conference Paper
Full-text available
Service-based systems are usually conceived and executed in highly dynamic environments. To support their automatic adaptation to this variability, execution context should be considered as a first-class concept during their design. This paper proposes a design approach that exploits semantics for modeling contexts and related systems’ behaviors. T...
Article
Full-text available
Service composition is a fundamental facet of Service Oriented Architecture to burst the creation of new services and knowledge throughout the Internet. Automating this aspect has been for many years an interesting research topic for people working in several research areas. In spite of the several scientific results already achieved, generating a...
Article
Full-text available
Service composition is a fundamental facet of Service Oriented Architecture to burst the creation of new services and knowledge throughout the Internet. Automating this aspect has been for many years an interesting research topic for people working in several research areas. In spite of the several scientific results already achieved, generating a...

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