Application System Development of Accident Prevention and Safety Assistance using IoT Application

Authors

  • Muhammad Naufal Mansor Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Mohd Aminudin Jamlos Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Malaysia
  • Wan Azani Mustafa Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Muhammad Adib Rahmat Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Syahrul Affandi Saidi Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Noor Anida Abu Talib Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Mohd Zamri Hasan Centre of Excellence for Intelligent Robotics & Autonomous Systems (CIRAS), Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

DOI:

https://doi.org/10.37934/araset.31.3.265281

Keywords:

Accelerometer, aggressive driving, alert system, IoT, vehicle accident prevention

Abstract

The number of road accidents in Malaysia shows a steady increment from 2010 to 2019, reported by the Ministry of Transport Malaysia. This project aims to develop a system to prevent an accident by detecting aggressive driving. If an accident occurred, this system would send an alert for an immediate response, which is crucial to reduce the fatality rate. An accelerometer is utilized to detect aggressive driving and accident events. The method to detect aggressive driving is by determining an abrupt change in acceleration. For accident detection, the vehicle tilt angle and acceleration are monitored. An ESP32 SIM800L microcontroller processes the inputs and alert a web-based cloud service and a set phone number by Short Message Service (SMS). The microcontroller is used due to the embedded Global System for Mobile Communications (GSM) and other wireless communication modules. The small form factor gives an advantage in terms of mounting location flexibility. The alert contains the type of event, time, and location. This report contains the development of the proposed system, which includes the simulation for the system circuit and motion simulation. Accident detection, falls, SMS alerts and online alerts are consistently successful, while aggressive driving detection is inconsistent. Live tracking does not directly work during these detections. In conclusion, this project successfully detects accidents and sends alerts via SMS and internet using a Subscriber Identity Module (SIM) card.

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Author Biographies

Muhammad Naufal Mansor, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

naufal@unimap.edu.my

Mohd Aminudin Jamlos, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Malaysia

mohdaminudin@unimap.edu.my

Wan Azani Mustafa, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

wanazani@unimap.edu.my

Muhammad Adib Rahmat, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

adibrahmat2u@gmail.com

Syahrul Affandi Saidi, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

syahrulaffandi@unimap.edu.my

Noor Anida Abu Talib, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

anidatalib@unimap.edu.my

Mohd Zamri Hasan, Centre of Excellence for Intelligent Robotics & Autonomous Systems (CIRAS), Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

zamrihasan@unimap.edu.my

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Published

2023-08-18

How to Cite

Muhammad Naufal Mansor, Mohd Aminudin Jamlos, Wan Azani Mustafa, Muhammad Adib Rahmat, Syahrul Affandi Saidi, Noor Anida Abu Talib, & Mohd Zamri Hasan. (2023). Application System Development of Accident Prevention and Safety Assistance using IoT Application. Journal of Advanced Research in Applied Sciences and Engineering Technology, 31(3), 265–281. https://doi.org/10.37934/araset.31.3.265281

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