| Title |
Underpinning IoT for Road Traffic Noise Management in Smart Cities |
| ID_Doc |
44813 |
| Authors |
Kazmi, A; Tragos, E; Serrano, M |
| Title |
Underpinning IoT for Road Traffic Noise Management in Smart Cities |
| Year |
2018 |
| Published |
|
| DOI |
|
| 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. |
| Author Keywords |
Smart City; Traffic Noise Management; Internet of Things; Smart Traffic Management |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000541062400149 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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