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.
Highlights
Speed bumps or speed humps have become popular recently for forcing drivers reduce car speed to avoid accidents
We propose an intelligent system for speed bump detection and speed reduction
This research proposes a system for reducing car speed on bumps to avoid car crash or car accidents
Summary
Speed bumps or speed humps have become popular recently for forcing drivers reduce car speed to avoid accidents. Previous studies have provided fundamental methods for detecting speed bumps [3]–[6] These methods include RADAR sensors or LIDAR sensors which are used for the adaptive cruise control system [5]. Video sensors are limited because bumps usually are not painted and video is not effective at night Another method is the accelerometer sensors which continuously provide the x, y, and z coordinates of any point on the road [3], [4]. The accelerometer sensors can overcome the limitations of previous methods as they exist in most smartphones owned by drivers which reduces the cost. These sensors can detect bumps more accurately than the aforementioned methods. This research is important for establishing a unified database for speeds bumps in the country
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