A participatory sensing framework to classify road surface quality
Abstract Participatory sensing networks rely on gathering personal data from mobile devices to infer global knowledge. Participatory sensing has been used for real-time traffic monitoring, where the global traffic conditions are based on information provided by individual devices. However, fewer ini...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Brazilian Computing Society (SBC)
2019-07-01
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| Series: | Journal of Internet Services and Applications |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13174-019-0111-1 |
| _version_ | 1818567161728204800 |
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| author | Davidson E. Nunes Vinicius F. S. Mota |
| author_facet | Davidson E. Nunes Vinicius F. S. Mota |
| author_sort | Davidson E. Nunes |
| collection | DOAJ |
| description | Abstract Participatory sensing networks rely on gathering personal data from mobile devices to infer global knowledge. Participatory sensing has been used for real-time traffic monitoring, where the global traffic conditions are based on information provided by individual devices. However, fewer initiatives address asphalt quality conditions, which is an essential aspect of the route decision process. This article proposes Streetcheck, a framework to classify road surface quality through participatory sensing. Streetcheck gathers mobile devices’ sensors such as Global Positioning System (GPS) and accelerometer, as well as users’ ratings on road surface quality. A classification system aggregates the data, filters them, and extracts a set of features as input for supervised learning algorithms. Twenty volunteers carried out tests using Streetcheck on 1,200 km of urban roads of Minas Gerais (Brazil). Streetcheck reached up to 90.64% of accuracy on classifying road surface quality. |
| first_indexed | 2024-12-14T06:19:50Z |
| format | Article |
| id | doaj.art-7ccd6e67bb9246729debf93aa1751e43 |
| institution | Directory Open Access Journal |
| issn | 1867-4828 1869-0238 |
| language | English |
| last_indexed | 2024-12-14T06:19:50Z |
| publishDate | 2019-07-01 |
| publisher | Brazilian Computing Society (SBC) |
| record_format | Article |
| series | Journal of Internet Services and Applications |
| spelling | doaj.art-7ccd6e67bb9246729debf93aa1751e432022-12-21T23:13:52ZengBrazilian Computing Society (SBC)Journal of Internet Services and Applications1867-48281869-02382019-07-0110111610.1186/s13174-019-0111-1A participatory sensing framework to classify road surface qualityDavidson E. Nunes0Vinicius F. S. Mota1Department of Computer and Systems, Federal university of Ouro PretoDepartment of Informatics, Universidade Federal do Espírito SantoAbstract Participatory sensing networks rely on gathering personal data from mobile devices to infer global knowledge. Participatory sensing has been used for real-time traffic monitoring, where the global traffic conditions are based on information provided by individual devices. However, fewer initiatives address asphalt quality conditions, which is an essential aspect of the route decision process. This article proposes Streetcheck, a framework to classify road surface quality through participatory sensing. Streetcheck gathers mobile devices’ sensors such as Global Positioning System (GPS) and accelerometer, as well as users’ ratings on road surface quality. A classification system aggregates the data, filters them, and extracts a set of features as input for supervised learning algorithms. Twenty volunteers carried out tests using Streetcheck on 1,200 km of urban roads of Minas Gerais (Brazil). Streetcheck reached up to 90.64% of accuracy on classifying road surface quality.http://link.springer.com/article/10.1186/s13174-019-0111-1Participatory sensingRoad surface qualitySupervised learningCrowdsensing |
| spellingShingle | Davidson E. Nunes Vinicius F. S. Mota A participatory sensing framework to classify road surface quality Journal of Internet Services and Applications Participatory sensing Road surface quality Supervised learning Crowdsensing |
| title | A participatory sensing framework to classify road surface quality |
| title_full | A participatory sensing framework to classify road surface quality |
| title_fullStr | A participatory sensing framework to classify road surface quality |
| title_full_unstemmed | A participatory sensing framework to classify road surface quality |
| title_short | A participatory sensing framework to classify road surface quality |
| title_sort | participatory sensing framework to classify road surface quality |
| topic | Participatory sensing Road surface quality Supervised learning Crowdsensing |
| url | http://link.springer.com/article/10.1186/s13174-019-0111-1 |
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