Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review
Abstract Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of built-in sensors, offer a practical and affordable solution for road-sensing. However, the lack of reliable, standa...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04193-0 |
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| author | Amith Khandakar David G. Michelson Mansura Naznine Abdus Salam Md. Nahiduzzaman Khaled M. Khan Ponnuthurai Nagaratnam Suganthan Mohamed Arselene Ayari Hamid Menouar Julfikar Haider |
| author_facet | Amith Khandakar David G. Michelson Mansura Naznine Abdus Salam Md. Nahiduzzaman Khaled M. Khan Ponnuthurai Nagaratnam Suganthan Mohamed Arselene Ayari Hamid Menouar Julfikar Haider |
| author_sort | Amith Khandakar |
| collection | DOAJ |
| description | Abstract Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of built-in sensors, offer a practical and affordable solution for road-sensing. However, the lack of reliable, standardized datasets has hindered progress in assessing road conditions and driving patterns. This study addresses this gap by introducing a comprehensive dataset derived from smartphone sensors, which surpasses existing datasets by incorporating a diverse range of sensors including accelerometer, gyroscope, magnetometer, GPS, gravity, orientation, and uncalibrated sensors. These sensors capture extensive parameters such as acceleration force, gravitation, rotation rate, magnetic field strength, and vehicle speed, providing a detailed understanding of road conditions and driving behaviors. The dataset is designed to enhance road safety, infrastructure maintenance, traffic management, and urban planning. By making this dataset available to the community, the study aims to foster collaboration, inspire further research, and facilitate the development of innovative solutions in intelligent transportation systems. |
| format | Article |
| id | doaj-art-eae8ecb9867f4eac9a5b46da4c03e0c5 |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-eae8ecb9867f4eac9a5b46da4c03e0c52025-08-20T03:01:38ZengNature PortfolioScientific Data2052-44632025-03-0112112010.1038/s41597-024-04193-0Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and ReviewAmith Khandakar0David G. Michelson1Mansura Naznine2Abdus Salam3Md. Nahiduzzaman4Khaled M. Khan5Ponnuthurai Nagaratnam Suganthan6Mohamed Arselene Ayari7Hamid Menouar8Julfikar Haider9Department of Electrical Engineering, Qatar UniversityDepartment of Electrical and Computer Engineering, The University of British ColumbiaDepartment of Computer Science & Engineering, Rajshahi University of Engineering & TechnologyDepartment of Electrical Engineering, Qatar UniversityDepartment of Electrical & Computer Engineering, Rajshahi University of Engineering & TechnologyDepartment of Computer Science and Engineering, Qatar UniversityKINDI Center for Computing Research, College of Engineering, Qatar UniversityDepartment of Electrical Engineering, Qatar UniversityQatar Mobility Innovations Center (QMIC), Qatar UniversityDepartment of Engineering, Manchester Metropolitan University, Chester StreetAbstract Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of built-in sensors, offer a practical and affordable solution for road-sensing. However, the lack of reliable, standardized datasets has hindered progress in assessing road conditions and driving patterns. This study addresses this gap by introducing a comprehensive dataset derived from smartphone sensors, which surpasses existing datasets by incorporating a diverse range of sensors including accelerometer, gyroscope, magnetometer, GPS, gravity, orientation, and uncalibrated sensors. These sensors capture extensive parameters such as acceleration force, gravitation, rotation rate, magnetic field strength, and vehicle speed, providing a detailed understanding of road conditions and driving behaviors. The dataset is designed to enhance road safety, infrastructure maintenance, traffic management, and urban planning. By making this dataset available to the community, the study aims to foster collaboration, inspire further research, and facilitate the development of innovative solutions in intelligent transportation systems.https://doi.org/10.1038/s41597-024-04193-0 |
| spellingShingle | Amith Khandakar David G. Michelson Mansura Naznine Abdus Salam Md. Nahiduzzaman Khaled M. Khan Ponnuthurai Nagaratnam Suganthan Mohamed Arselene Ayari Hamid Menouar Julfikar Haider Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review Scientific Data |
| title | Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review |
| title_full | Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review |
| title_fullStr | Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review |
| title_full_unstemmed | Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review |
| title_short | Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review |
| title_sort | harnessing smartphone sensors for enhanced road safety a comprehensive dataset and review |
| url | https://doi.org/10.1038/s41597-024-04193-0 |
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