A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data
This paper aims to establish a model that can utilize vibration and sound heatmaps in smart traffic using Internet of things, mobile and web technologies. The developed system should be able to monitor and collect information using crowdsensing technology, as well as provide the current status of t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Pro Universitaria
2023-06-01
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| Series: | Smart Cities and Regional Development Journal |
| Subjects: | |
| Online Access: | https://www.scrd.eu/index.php/scrd/article/view/400 |
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| _version_ | 1850224007810383872 |
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| author | Boban DAVIDOVIC Maja DAVIDOVIC Sanja DEJANOVIC |
| author_facet | Boban DAVIDOVIC Maja DAVIDOVIC Sanja DEJANOVIC |
| author_sort | Boban DAVIDOVIC |
| collection | DOAJ |
| description |
This paper aims to establish a model that can utilize vibration and sound heatmaps in smart traffic using Internet of things, mobile and web technologies. The developed system should be able to monitor and collect information using crowdsensing technology, as well as provide the current status of the environment. The final objective of the model is to generate visual heat maps related to perceptual attributes (e.g. ‘calm’, ‘pleasant’, ‘unbearable‘) with collected vibrations and sounds as a starting point. The proposed system is developed through these main stages: (1) Vibration and sound sources recognition (2) Profiling of the sources (3) Prediction of perceptual measures divided by the area (4) Implementation of vibration and sound heatmaps. This research is specifically focusing on the last two stages (predictions and implementation). These stages are broken down into smaller phases with methodology and processes described in detail. The model of the developed system was realized through measured vibrations and sound data in urban transportation in Novi Sad city. Finally, we present the research results from the analysis paradigm and provide suggestions for its implementation.
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| format | Article |
| id | doaj-art-583de2610b5a4ceea9c0f667c6973abf |
| institution | OA Journals |
| issn | 2537-3803 2821-7888 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Pro Universitaria |
| record_format | Article |
| series | Smart Cities and Regional Development Journal |
| spelling | doaj-art-583de2610b5a4ceea9c0f667c6973abf2025-08-20T02:05:46ZengPro UniversitariaSmart Cities and Regional Development Journal2537-38032821-78882023-06-0172A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing dataBoban DAVIDOVIC0Maja DAVIDOVIC1Sanja DEJANOVICFaculty of Organizational SciencesFaculty of Information Technology This paper aims to establish a model that can utilize vibration and sound heatmaps in smart traffic using Internet of things, mobile and web technologies. The developed system should be able to monitor and collect information using crowdsensing technology, as well as provide the current status of the environment. The final objective of the model is to generate visual heat maps related to perceptual attributes (e.g. ‘calm’, ‘pleasant’, ‘unbearable‘) with collected vibrations and sounds as a starting point. The proposed system is developed through these main stages: (1) Vibration and sound sources recognition (2) Profiling of the sources (3) Prediction of perceptual measures divided by the area (4) Implementation of vibration and sound heatmaps. This research is specifically focusing on the last two stages (predictions and implementation). These stages are broken down into smaller phases with methodology and processes described in detail. The model of the developed system was realized through measured vibrations and sound data in urban transportation in Novi Sad city. Finally, we present the research results from the analysis paradigm and provide suggestions for its implementation. https://www.scrd.eu/index.php/scrd/article/view/400sound in trafficvibration in trafficsmart trafficenvironmental noisecrowdsensing |
| spellingShingle | Boban DAVIDOVIC Maja DAVIDOVIC Sanja DEJANOVIC A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data Smart Cities and Regional Development Journal sound in traffic vibration in traffic smart traffic environmental noise crowdsensing |
| title | A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data |
| title_full | A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data |
| title_fullStr | A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data |
| title_full_unstemmed | A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data |
| title_short | A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data |
| title_sort | model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data |
| topic | sound in traffic vibration in traffic smart traffic environmental noise crowdsensing |
| url | https://www.scrd.eu/index.php/scrd/article/view/400 |
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