Fuzzy Inference System for Speed Bumps Detection Using Smart Phone Accelerometer Sensor

Authors

  • Ahmad Aljaafreh Communication, Electronics and Computer Engineering Department, Tafila Technical University
  • Khaled Alawasa Electrical Engineering Department, Mutah University
  • Saqer Alja’afreh Electrical Engineering Department, Mutah University
  • Ahmad Abadleh Computer Science Department, Mutah University

Keywords:

Fuzzy Inference System, Road Monitoring, Smartphone, Vertical Acceleration,

Abstract

Recently, a significant amount of research attention has been given to monitoring the road surface anomalies such as potholes and speed bumps. In this paper, speed bump detection method based on a fuzzy inference system (FIS) is proposed. The fuzzy inference system detects and recognizes the speed bumps from the variance of the vertical acceleration and the speed of the vehicle. The proposed method utilizes the embedded sensor (accelerometer) in the Smartphone. The proposed method is tested and evaluated under different speed levels. The results show that the proposed method is promising for bumps detection.

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Published

2017-09-01

How to Cite

Aljaafreh, A., Alawasa, K., Alja’afreh, S., & Abadleh, A. (2017). Fuzzy Inference System for Speed Bumps Detection Using Smart Phone Accelerometer Sensor. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-7), 133–136. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2607

Issue

Vol. 9 No. 2-7: Towards Creative and Innovative Technologies for Humankind I

Section

Articles

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