Underpinning IoT for Road Traffic Noise Management in Smart Cities

Aqeel Kazmi; Elias Tragos; Martin Serrano

doi:10.1109/PERCOMW.2018.8480142

Underpinning IoT for Road Traffic Noise Management in Smart Cities

Aqeel Kazmi
, Elias Tragos
, Martin Serrano

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

12 Citations (Scopus)

Abstract

The Internet of Things (IoT) is perceived as a key enabler for addressing the challenges that modern cities face today. IoT has the power to transform cities into Smart Cities. As a consequence, we have been witnessing the proliferation of IoT deployments in Smart Cities that aim to improve processes in various domains such as, energy, transport, health, mobility, etc. Environmental noise is one of the major issues affecting the health and well-being of residents in an urban environment. A major contribution in noise pollution comes from road traffic. This work presents an innovative IoT-based approach to monitor and manage road traffic noise in Smart Cities. Our approach uses an IoT platform for collecting and integrating data streams stemming from multifarious sensing devices. The data are then analyzed in order to identify traffic noise events; if the noise level on a particular road exceeds a specified threshold, the traffic flow is controlled by taking certain measures. In addition to research methodology, we discuss a prototype implementation of the system.

Original language	English
Title of host publication	2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	765-769
Number of pages	5
ISBN (Electronic)	9781538632277
DOIs	https://doi.org/10.1109/PERCOMW.2018.8480142
Publication status	Published - 2 Oct 2018
Event	2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 - Athens, Greece Duration: 19 Mar 2018 → 23 Mar 2018

Publication series

Name	2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

Conference

Conference	2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
Country/Territory	Greece
City	Athens
Period	19/03/18 → 23/03/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

Internet of Things
Smart City
Smart Traffic Management
Traffic Noise Management

Access to Document

10.1109/PERCOMW.2018.8480142

Cite this

Kazmi, A., Tragos, E., & Serrano, M. (2018). Underpinning IoT for Road Traffic Noise Management in Smart Cities. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (pp. 765-769). Article 8480142 (2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2018.8480142

Kazmi, Aqeel ; Tragos, Elias ; Serrano, Martin. / Underpinning IoT for Road Traffic Noise Management in Smart Cities. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 765-769 (2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018).

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abstract = "The Internet of Things (IoT) is perceived as a key enabler for addressing the challenges that modern cities face today. IoT has the power to transform cities into Smart Cities. As a consequence, we have been witnessing the proliferation of IoT deployments in Smart Cities that aim to improve processes in various domains such as, energy, transport, health, mobility, etc. Environmental noise is one of the major issues affecting the health and well-being of residents in an urban environment. A major contribution in noise pollution comes from road traffic. This work presents an innovative IoT-based approach to monitor and manage road traffic noise in Smart Cities. Our approach uses an IoT platform for collecting and integrating data streams stemming from multifarious sensing devices. The data are then analyzed in order to identify traffic noise events; if the noise level on a particular road exceeds a specified threshold, the traffic flow is controlled by taking certain measures. In addition to research methodology, we discuss a prototype implementation of the system.",

keywords = "Internet of Things, Smart City, Smart Traffic Management, Traffic Noise Management",

author = "Aqeel Kazmi and Elias Tragos and Martin Serrano",

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Kazmi, A, Tragos, E & Serrano, M 2018, Underpinning IoT for Road Traffic Noise Management in Smart Cities. in 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018., 8480142, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, Institute of Electrical and Electronics Engineers Inc., pp. 765-769, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, Athens, Greece, 19/03/18. https://doi.org/10.1109/PERCOMW.2018.8480142

Underpinning IoT for Road Traffic Noise Management in Smart Cities. / Kazmi, Aqeel; Tragos, Elias; Serrano, Martin.
2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 765-769 8480142 (2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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T1 - Underpinning IoT for Road Traffic Noise Management in Smart Cities

AU - Kazmi, Aqeel

AU - Tragos, Elias

AU - Serrano, Martin

PY - 2018/10/2

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N2 - The Internet of Things (IoT) is perceived as a key enabler for addressing the challenges that modern cities face today. IoT has the power to transform cities into Smart Cities. As a consequence, we have been witnessing the proliferation of IoT deployments in Smart Cities that aim to improve processes in various domains such as, energy, transport, health, mobility, etc. Environmental noise is one of the major issues affecting the health and well-being of residents in an urban environment. A major contribution in noise pollution comes from road traffic. This work presents an innovative IoT-based approach to monitor and manage road traffic noise in Smart Cities. Our approach uses an IoT platform for collecting and integrating data streams stemming from multifarious sensing devices. The data are then analyzed in order to identify traffic noise events; if the noise level on a particular road exceeds a specified threshold, the traffic flow is controlled by taking certain measures. In addition to research methodology, we discuss a prototype implementation of the system.

AB - The Internet of Things (IoT) is perceived as a key enabler for addressing the challenges that modern cities face today. IoT has the power to transform cities into Smart Cities. As a consequence, we have been witnessing the proliferation of IoT deployments in Smart Cities that aim to improve processes in various domains such as, energy, transport, health, mobility, etc. Environmental noise is one of the major issues affecting the health and well-being of residents in an urban environment. A major contribution in noise pollution comes from road traffic. This work presents an innovative IoT-based approach to monitor and manage road traffic noise in Smart Cities. Our approach uses an IoT platform for collecting and integrating data streams stemming from multifarious sensing devices. The data are then analyzed in order to identify traffic noise events; if the noise level on a particular road exceeds a specified threshold, the traffic flow is controlled by taking certain measures. In addition to research methodology, we discuss a prototype implementation of the system.

KW - Internet of Things

KW - Smart City

KW - Smart Traffic Management

KW - Traffic Noise Management

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T3 - 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

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BT - 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 March 2018 through 23 March 2018

ER -

Kazmi A, Tragos E, Serrano M. Underpinning IoT for Road Traffic Noise Management in Smart Cities. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 765-769. 8480142. (2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018). doi: 10.1109/PERCOMW.2018.8480142

Underpinning IoT for Road Traffic Noise Management in Smart Cities

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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