2-Phase Crash Detection and Notification System

Citation

Abdul Razak, Siti Fatimah and Suhaimi, Faris Aiman and Yogarayan, Sumendra and Abdullah, Mohd Fikri Azli (2022) 2-Phase Crash Detection and Notification System. Journal of Logistics, Informatics and Service Science, 9 (3). pp. 258-270. ISSN 2409-2665

Full text not available from this repository.

Abstract

The automotive industry has grown at a fast phase and continues to grow day by day. One of the factors behind these improvements to the automotive business is the Internet of Things (IoT). This technology has exceptional possibilities and promise. The main factor encouraging is the convergence of several innovations and interaction methods. The 2-phase crash detection system can deliver messages in case of a crash or emergency to the first responders and user close contacts. The goal of this system is to create a device capable of improving the driver and passenger well-being. The device is made up of two parts, the hardware and the software which interacts for detection and notification purposes. The hardware is built on Arduino and four different sensors and modules, i.e., a sound detection sensor, a vibration sensor, a GPS module, and a gyroscope module. The data received from these modules and sensors are monitored at every second, and an alert will be sent out if the signal passed a certain threshold. The software part is made up of an android application which is used to store user information and a means to respond to the alert given out by the Arduino. The outcome of the project shows that the system is very straight forward to use and once the Arduino portion is built, pairing with the application will be seamless. The application can be left in the background while the user is driving and would not cause any interference if a navigation app is used at the same time. The project would significantly be part of active monitoring tool that would contribute towards intelligent transportation system.

Item Type: Article
Uncontrolled Keywords: Accidents, crash detection, internet-of-things, sensors
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 27 Oct 2022 08:59
Last Modified: 27 Oct 2022 08:59
URII: http://shdl.mmu.edu.my/id/eprint/10491

Downloads

Downloads per month over past year

View ItemEdit (login required)