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DC Field | Value | Language |
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dc.contributor.author | Daadoo, Motaz | - |
dc.contributor.author | Awwad Daraghmi, Yousef | - |
dc.date.accessioned | 2019-05-15T06:22:47Z | - |
dc.date.available | 2019-05-15T06:22:47Z | - |
dc.date.issued | 2016-10-11 | - |
dc.identifier.citation | Daraghmi, Yousef-Awwad, and Motaz Daadoo. "Intelligent Smartphone based system for detecting speed bumps and reducing car speed." MATEC Web of Conferences. Vol. 77. EDP Sciences, 2016. | en_US |
dc.identifier.issn | 2261-236X | - |
dc.identifier.uri | https://scholar.ptuk.edu.ps/handle/123456789/443 | - |
dc.description.abstract | Although speed bumps are used to force drivers reduce car speed for avoiding accidents, these bumps may cause car crash or accident when drivers do not notice them. Studies have proposed different methods to detect bumps and alert drivers. However, these methods have limitations and require modifications to enable accurate detection. Also these methods did not propose speed reduction approaches. Therefore, in this research, we propose a method that utilizes smartphone microelectronic mechanical technology for speed bump detection. The system uses the gravity sensor to detect the vertical vibration of cars passes over bumps and the GPS to determine the position of the bump. To give accurate detection results, data are collected from crowd, stored and processed on the cloud. The system also contains a speed reduction unit which is attached to the brake pedal and reduces the speed if a bump is detected. A small scale experiment showed that the system detected the position and the height of bumps with a very small error. The system also reduced the speed of cars at the moment they hit the bumps to a point that does not cause any harm to cars or passengers. | en_US |
dc.language.iso | en | en_US |
dc.publisher | EDP Sciences | en_US |
dc.title | Intelligent Smartphone based system for detecting speed bumps and reducing car speed | en_US |
dc.type | Article | en_US |
Appears in Collections: | Engineering and Technology Faculty |
Files in This Item:
File | Description | Size | Format | |
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9. Intelligent Smartphone based.pdf | 313.07 kB | Adobe PDF | View/Open |
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