2022
Cesario, E.; Uchubilo, P. I.; Vinci, A.; Zhu, X.
Multi-density urban hotspots detection in smart cities: A data-driven approach and experiments Journal Article
In: Pervasive and Mobile Computing, vol. 86, 2022, ISSN: 15741192.
Abstract | Links | BibTeX | Tags: Multi-density city hotspots, smart city, Urban computing
@article{Cesario2022,
title = {Multi-density urban hotspots detection in smart cities: A data-driven approach and experiments},
author = {E. Cesario and P. I. Uchubilo and A. Vinci and X. Zhu},
doi = {10.1016/j.pmcj.2022.101687},
issn = {15741192},
year = {2022},
date = {2022-01-01},
journal = {Pervasive and Mobile Computing},
volume = {86},
abstract = {The detection of city hotspots from geo-referenced urban data is a valuable knowledge support for planners, scientists, and policymakers. However, the application of classic density-based clustering algorithms on multi-density data can produce inaccurate results. Since metropolitan cities are heavily characterized by variable densities, multi-density clustering seems to be more appropriate to discover city hotspots. This paper presents CHD (City Hotspot Detector), a multi-density approach to discover urban hotspots in a city, by reporting an extensive comparative analysis with three classic density-based clustering algorithms, on both state-of-the-art and real-world datasets. The comparative experimental evaluation in an urban scenario shows that the proposed multi-density algorithm, enhanced by an additional rolling moving average technique, detects higher quality city hotspots than other classic density-based approaches proposed in literature.},
keywords = {Multi-density city hotspots, smart city, Urban computing},
pubstate = {published},
tppubtype = {article}
}
2021
Cesario, E.; Vinci, A.; Zarin, S.
Towards Parallel Multi-density Clustering for Urban Hotspots Detection Proceedings Article
In: Proceedings of 2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2021, ISBN: 9781665414555.
Abstract | Links | BibTeX | Tags: Multi density clustering, smart city, Urban computing
@inproceedings{Cesario2021,
title = {Towards Parallel Multi-density Clustering for Urban Hotspots Detection},
author = {E. Cesario and A. Vinci and S. Zarin},
doi = {10.1109/PDP52278.2021.00046},
isbn = {9781665414555},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Proceedings of 2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)},
journal = {Proceedings - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021},
abstract = {Detecting city hotspots in urban environments is a valuable organization methodology for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial urban datasets. Such knowledge is a valuable support for planner, scientist and policy-maker's decisions. Classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, but their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering approaches show higher effectiveness to discover city hotspots. Moreover, the growing volumes of data collected in urban environments require high-performance computing solutions, to guarantee efficient, scalable and elastic task executions. This paper describes the design and implementation of a parallel multi-density clustering algorithm, aimed at analyzing high volume of urban data in an efficient way. The experimental evaluation shows that the proposed parallel clustering approach takes out encouraging advantages in terms of execution time and speedup.},
keywords = {Multi density clustering, smart city, Urban computing},
pubstate = {published},
tppubtype = {inproceedings}
}
2020
Cesario, E.; Uchubilo, P. I.; Vinci, A.; Zhu, X.
Discovering Multi-density Urban Hotspots in a Smart City Proceedings Article
In: 2020, ISBN: 9781728169972.
Abstract | Links | BibTeX | Tags: Crime Data Analysis, Data Mining, smart city
@inproceedings{Cesario2020,
title = {Discovering Multi-density Urban Hotspots in a Smart City},
author = {E. Cesario and P. I. Uchubilo and A. Vinci and X. Zhu},
doi = {10.1109/SMARTCOMP50058.2020.00073},
isbn = {9781728169972},
year = {2020},
date = {2020-01-01},
journal = {Proceedings - 2020 IEEE International Conference on Smart Computing, SMARTCOMP 2020},
abstract = {Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such amount of information is analyzed to discover data-driven models, which can be exploited to tackle the major issues that cities face, including air pollution, virus diffusion, human mobility, traffic flows. In particular, the detection of city hotspots is becoming a valuable organization technique for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial datasets, which are valuable for planners, scientists, and policymakers. However, while classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering seems to be more appropriate to discover city hotspots. This paper presents a study about how density-based clustering algorithms are suitable for discovering urban hotspots in a city, by showing a comparative analysis of single-density and multi-density clustering on both state-of-the-art data and real-world data. The experimental evaluation shows that, in an urban scenario, multi-density clustering achieves higher quality hotspots than a single-density approach.},
keywords = {Crime Data Analysis, Data Mining, smart city},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Catlett, C.; Cesario, E.; Talia, D.; Vinci, A.
Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments Journal Article
In: Pervasive and Mobile Computing, vol. 53, 2019, ISSN: 15741192.
Abstract | Links | BibTeX | Tags: Crime prediction, Data analytics, smart city, Urban computing
@article{Catlett2019,
title = {Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments},
author = {C. Catlett and E. Cesario and D. Talia and A. Vinci},
doi = {10.1016/j.pmcj.2019.01.003},
issn = {15741192},
year = {2019},
date = {2019-01-01},
journal = {Pervasive and Mobile Computing},
volume = {53},
abstract = {Steadily increasing urbanization is causing significant economic and social transformations in urban areas, posing several challenges related to city management and services. In particular, in cities with higher crime rates, effectively providing for public safety is an increasingly complex undertaking. To handle this complexity, new technologies are enabling police departments to access growing volumes of crime-related data that can be analyzed to understand patterns and trends. These technologies have potentially to increase the efficient deployment of police resources within a given territory and ultimately support more effective crime prevention. This paper presents a predictive approach based on spatial analysis and auto-regressive models to automatically detect high-risk crime regions in urban areas and to reliably forecast crime trends in each region. The algorithm result is a spatio-temporal crime forecasting model, composed of a set of crime-dense regions with associated crime predictors, each one representing a predictive model for estimating the number of crimes likely to occur in its associated region. The experimental evaluation was performed on two real-world datasets collected in the cities of Chicago and New York City. This evaluation shows that the proposed approach achieves good accuracy in spatial and temporal crime forecasting over rolling time horizons.},
keywords = {Crime prediction, Data analytics, smart city, Urban computing},
pubstate = {published},
tppubtype = {article}
}
2018
Cicirelli, F.; Guerrieri, A.; Mercuri, A.; Spezzano, G.; Vinci, A.
Cognitive smart environment: An approach based on concept hierarchies and sensor data fusion Journal Article
In: International Journal of Simulation and Process Modelling, vol. 13, iss. 5, 2018, ISSN: 17402131.
Abstract | Links | BibTeX | Tags: Cognitive Internet of Things, Context awareness, multi-agent systems, Sensor data fusion, smart city, smart environments, Smart museum, Statecharts
@article{Cicirelli2018c,
title = {Cognitive smart environment: An approach based on concept hierarchies and sensor data fusion},
author = {F. Cicirelli and A. Guerrieri and A. Mercuri and G. Spezzano and A. Vinci},
doi = {10.1504/IJSPM.2018.094741},
issn = {17402131},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Simulation and Process Modelling},
volume = {13},
issue = {5},
abstract = {Sensor data fusion gathers technological solutions for collecting, classifying and combining data from multiple sensors in a smart environment for augmenting knowledge about the system and realising cognitive behaviours. The goal is to make effective the management of acquired data and to promote the realisation of cognitive systems which can sense the environment, reason, and properly (re)act for reaching some purposes. Anyway, the development of such systems asks for suitable approaches able to deal with issues like heterogeneity, sensor/actuator management, system reactivity, behavioural modelling, and context awareness. This paper proposes a multi-tier approach, based on concept hierarchies and sensor data fusion, dealing with the above aspects. The approach favours separation of concerns and abstractions. It relies on the use of the agent metaphor and statecharts. The iSapiens platform is suggested for implementation purposes. As a significant case study, the development of a smart museum located in Cosenza (Italy) is proposed.},
keywords = {Cognitive Internet of Things, Context awareness, multi-agent systems, Sensor data fusion, smart city, smart environments, Smart museum, Statecharts},
pubstate = {published},
tppubtype = {article}
}
Catlett, C.; Cesario, E.; Talia, D.; Vinci, A.
A data-driven approach for spatio-Temporal crime predictions in smart cities Proceedings Article
In: 2018, ISBN: 9781538647059.
Abstract | Links | BibTeX | Tags: Crime prediction, smart city, Urban computing
@inproceedings{Catlett2018,
title = {A data-driven approach for spatio-Temporal crime predictions in smart cities},
author = {C. Catlett and E. Cesario and D. Talia and A. Vinci},
doi = {10.1109/SMARTCOMP.2018.00069},
isbn = {9781538647059},
year = {2018},
date = {2018-01-01},
journal = {Proceedings - 2018 IEEE International Conference on Smart Computing, SMARTCOMP 2018},
abstract = {The steadily increasing urbanization is causing significant economic and social transformations in urban areas and it will be posing several challenges in city management issues. In particular, given that the larger cities the higher crime rates, crime spiking is becoming one of the most important social problems in large urban areas. To handle with the increase in crimes, new technologies are enabling police departments to access growing volumes of crime-related data that can be analyzed to understand patterns and trends, finalized to an efficient deployment of police officers over the territory and more effective crime prevention. This paper presents an approach based on spatial analysis and auto-regressive models to automatically detect high-risk crime regions in urban areas and reliably forecast crime trends in each region. The final result of the algorithm is a spatio-Temporal crime forecasting model, composed of a set of crime dense regions and a set of associated crime predictors, each one representing a predictive model for forecasting the number of crimes that will happen in its specific region. The experimental evaluation, performed on real-world data collected in a big area of Chicago, shows that the proposed approach achieves good accuracy in spatial and temporal crime forecasting over rolling time horizons.},
keywords = {Crime prediction, smart city, Urban computing},
pubstate = {published},
tppubtype = {inproceedings}
}
2017
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea
An edge-based platform for dynamic smart city applications Journal Article
In: Future Generation Computer Systems, pp. -, 2017, ISSN: 0167-739X.
Abstract | Links | BibTeX | Tags: cyber physical systems, Edge computing, internet of things, multi-agent systems, smart city, Urban computing
@article{Cicirelli2017,
title = {An edge-based platform for dynamic smart city applications},
author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci},
url = {http://www.sciencedirect.com/science/article/pii/S0167739X16308342},
doi = {10.1016/j.future.2017.05.034},
issn = {0167-739X},
year = {2017},
date = {2017-06-15},
journal = {Future Generation Computer Systems},
pages = {-},
abstract = {Abstract A Smart City is a cyber-physical system improving urban behavior and capabilities by providing ICT-based functionalities. An infrastructure for Smart City has to be geographically and functionally extensible, as it requires both to grow up with the physical environment and to meet the increasing in needs and demands of city users/inhabitants. In this paper, we propose iSapiens, an IoT-based platform for the development of general cyber-physical systems suitable for the design and implementation of smart city services and applications. As distinguishing features, the iSapiens platform implements the edge computing paradigm through both the exploitation of the agent metaphor and a distributed network of computing nodes directly scattered in the urban environment. The platform promotes the dynamic deployment of new computing nodes as well as software agents for addressing geographical and functional extensibility. iSapiens provides a set of abstractions suitable to hide the heterogeneity of the physical sensing/actuator devices embedded in the system, and to support the development of complex applications. The paper also furnishes a set of methodological guidelines exploitable for the design and implementation of smart city applications by properly using iSapiens. As a significant case study, the design and implementation of a real Smart Street in the city of Cosenza (Italy) are shown, which provides decentralized urban intelligence services to citizens.},
keywords = {cyber physical systems, Edge computing, internet of things, multi-agent systems, smart city, Urban computing},
pubstate = {published},
tppubtype = {article}
}
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea; Briante, Orazio; Iera, Antonio; Ruggeri, Giuseppe
Edge Computing and Social Internet of Things for large-scale smart environments development Journal Article
In: IEEE Internet of Things Journal, vol. PP, no. 99, pp. 1-1, 2017, ISSN: 2327-4662.
Abstract | Links | BibTeX | Tags: Edge computing, internet of things, multi-agent systems, smart city, smart environments
@article{iotj2017,
title = {Edge Computing and Social Internet of Things for large-scale smart environments development},
author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci and Orazio Briante and Antonio Iera and Giuseppe Ruggeri},
doi = {10.1109/JIOT.2017.2775739},
issn = {2327-4662},
year = {2017},
date = {2017-01-01},
journal = {IEEE Internet of Things Journal},
volume = {PP},
number = {99},
pages = {1-1},
abstract = {Large-scale Smart Environments (LSEs) are open and dynamic systems typically extending over a wide area and including a huge number of interacting devices with a heterogeneous nature. Thus, during their deployment scalability and interoperability are key requirements to be definitely taken into account. To these, discovery and reputation assessment of services and objects have to be added, given that new devices and functionalities continuously join LSEs. In spite of the increasing interest in this topic, effective approaches to develop LSEs are still missing. This paper proposes an agent-based approach that leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a sample case study involving a commercial road environment.},
keywords = {Edge computing, internet of things, multi-agent systems, smart city, smart environments},
pubstate = {published},
tppubtype = {article}
}
2016
Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea
Smart Agents and Fog Computing for Smart City Applications Proceedings Article
In: International Conference on Smart Cities, pp. 137–146, Springer International Publishing 2016.
BibTeX | Tags: cyber physical systems, fog computing, internet of things, multi-agent systems, smart city
@inproceedings{giordano2016smartb,
title = {Smart Agents and Fog Computing for Smart City Applications},
author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci},
year = {2016},
date = {2016-01-01},
booktitle = {International Conference on Smart Cities},
pages = {137--146},
organization = {Springer International Publishing},
keywords = {cyber physical systems, fog computing, internet of things, multi-agent systems, smart city},
pubstate = {published},
tppubtype = {inproceedings}
}
2014
Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea
Rainbow: an Intelligent Platform for Large-Scale Networked Cyber-Physical Systems. Proceedings Article
In: Fortino, Giancarlo; Karnouskos, Stamatis; Marrón, Pedro José (Ed.): Proceedings of the 5th International Workshop on Networks of Cooperating Objects for Smart Cities 2014 (UBICITEC 2014) co-located with CPS 2014, Berlin, Germany, Apr 14, 2014., pp. 70–85, CEUR-WS.org, 2014, ISSN: 1613-0073.
Abstract | Links | BibTeX | Tags: cloud computing, cyber physical systems, multi-agent systems, smart city, swarm intelligence
@inproceedings{giordano2014rainbow,
title = {Rainbow: an Intelligent Platform for Large-Scale Networked Cyber-Physical Systems.},
author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci},
editor = {Giancarlo Fortino and
Stamatis Karnouskos and
Pedro José Marrón},
url = {http://ceur-ws.org/Vol-1156/paper6.pdf},
issn = {1613-0073},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 5th International Workshop on Networks of Cooperating Objects for Smart Cities 2014 (UBICITEC 2014) co-located with CPS 2014, Berlin, Germany, Apr 14, 2014.},
volume = {1156},
pages = {70--85},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
abstract = {Recent advancements in the fields of embedded systems,communication technologies and computer science, have laid the foundations for new kinds of applications in which a plethora of physical devices are interconnected and immersed in an environment together with human beings. These so-called Cyber-Physical Systems (CPS) issue a design challenge for new architecture in order to cope with problems such as the heterogeneity of devices, the intrinsically distributed nature of these systems, the lack of reliability in communications, etc. In this paper we introduce Rainbow, an architecture designed to address CPS issues. Rainbow hides heterogeneity by providing a Virtual Object (VO) concept, and addresses the distributed nature of CPS introducing a distributed multi-agent system on top of the physical part. Rainbow aims to get the computation close to the sources of information (i.e., the physical devices) and addresses the dynamic adaptivity requirements of CPS by using Swarm Intelligence algorithms.},
keywords = {cloud computing, cyber physical systems, multi-agent systems, smart city, swarm intelligence},
pubstate = {published},
tppubtype = {inproceedings}
}
Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea; Garofalo, Giuseppina; Piro, Patrizia
A cyber-physical system for distributed real-time control of urban drainage networks in smart cities Proceedings Article
In: Fortino, Giancarlo; Fatta, Giuseppe Di; Li, Wenfeng; Ochoa, Sergio F.; Cuzzocrea, Alfredo; Pathan, Mukaddim (Ed.): Internet and Distributed Computing Systems - 7h International Conference on Internet and Distributed Computing Systems, IDCS 2014, Calabria, Italy, September 22-24, 2014. Proceedings, pp. 87–98, Springer International Publishing Springher, 2014, ISBN: 978-3-319-11691-4.
Abstract | Links | BibTeX | Tags: combined sewer overflow, cyber physical systems, flooding, multi-agent systems, real-time control, smart city, swarm intelligence, urban drainage system, wireless sensor and actuator networks
@inproceedings{giordano2014cyber,
title = {A cyber-physical system for distributed real-time control of urban drainage networks in smart cities},
author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci and Giuseppina Garofalo and Patrizia Piro},
editor = {Giancarlo Fortino and
Giuseppe Di Fatta and
Wenfeng Li and
Sergio F. Ochoa and
Alfredo Cuzzocrea and
Mukaddim Pathan},
doi = {10.1007/978-3-319-11692-1_8},
isbn = {978-3-319-11691-4},
year = {2014},
date = {2014-01-01},
booktitle = {Internet and Distributed Computing Systems - 7h International Conference on Internet and Distributed Computing Systems, IDCS 2014, Calabria, Italy, September 22-24, 2014. Proceedings},
volume = {8729},
pages = {87--98},
publisher = {Springher},
organization = {Springer International Publishing},
series = {Lecture Notes in Computer Science},
abstract = {This paper focuses on a distributed real time control approach applied to drainage networks. The increasing of urbanization and climate change heightens the challenge for new technologies to be developed for drainage networks. Higher runoff volume, produced by the increase in impervious surfaces and intense rain events, overwhelms the existing urban drainage systems. Recent technical improvements have enabled the exploitation of real-time control on drainage networks. The novelty in this paper regards the use of a totally decentralized approach based on a proper combination of a Gossip-based algorithm, which ensures a global correct behaviour even if local faults occur, and a classic controlling technique (PID) used for local actuations.},
keywords = {combined sewer overflow, cyber physical systems, flooding, multi-agent systems, real-time control, smart city, swarm intelligence, urban drainage system, wireless sensor and actuator networks},
pubstate = {published},
tppubtype = {inproceedings}
}
Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea
Designing Cyber-Physical Systems for Smart Infrastructures: The Rainbow Platform. Journal Article
In: ERCIM News, vol. 2014, no. 97, 2014, ISSN: 09264981.
Abstract | Links | BibTeX | Tags: cyber physical systems, multi-agent systems, smart city
@article{giordano2014designing,
title = {Designing Cyber-Physical Systems for Smart Infrastructures: The Rainbow Platform.},
author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci},
url = {http://ercim-news.ercim.eu/images/stories/EN97/EN97-web.pdf},
issn = {09264981},
year = {2014},
date = {2014-01-01},
journal = {ERCIM News},
volume = {2014},
number = {97},
publisher = {ERCIM},
series = {ERCIM news},
abstract = {Although Cyber-Physical System (CPS) technologies are essential for the creation of smart infrastructures, enabling the optimization and management of resources and facilities, they
represent a design challenge. The Rainbow platform has been developed to facilitate the development of new CPS architectures.},
keywords = {cyber physical systems, multi-agent systems, smart city},
pubstate = {published},
tppubtype = {article}
}
represent a design challenge. The Rainbow platform has been developed to facilitate the development of new CPS architectures.
Garofalo, Giuseppina; Giordano, Andrea; Vinci, Andrea
Applicazione di un sistema distribuito di controllo in tempo reale di una rete di drenaggio urbano Proceedings Article
In: XXXIV Congresso Nazionale di Idraulica e Costruzioni Idrauliche (IDRA 2014), Zaccaria Editore 2014.
BibTeX | Tags: cyber physical systems, flooding, multi-agent systems, real-time control, smart city, urban drainage system
@inproceedings{garofalo2014applicazione,
title = {Applicazione di un sistema distribuito di controllo in tempo reale di una rete di drenaggio urbano},
author = {Giuseppina Garofalo and Andrea Giordano and Andrea Vinci},
year = {2014},
date = {2014-01-01},
booktitle = {XXXIV Congresso Nazionale di Idraulica e Costruzioni Idrauliche (IDRA 2014)},
organization = {Zaccaria Editore},
keywords = {cyber physical systems, flooding, multi-agent systems, real-time control, smart city, urban drainage system},
pubstate = {published},
tppubtype = {inproceedings}
}