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JACIII Vol.28 No.4 pp. 939-952
doi: 10.20965/jaciii.2024.p0939
(2024)

Research Paper:

An Automated Smartphone-Capable Road Traffic Accident Notification System

Relebogile Makhulu Langa ORCID Icon, Michael Nthabiseng Moeti ORCID Icon, and Senota Frans Kgoete ORCID Icon

Tshwane University of Technology
109 Market Street, Polokwane, Limpopo 0699, South Africa

Corresponding author

Received:
June 8, 2023
Accepted:
April 5, 2024
Published:
July 20, 2024
Keywords:
road traffic accident, MEMS sensor, g-force, GPS, DSRM
Abstract

The widespread use of automobiles has revolutionized transportation and attracted a large population owing to their convenience and effectiveness. However, this widespread adoption has resulted in a significant increase in road traffic accidents. The alarming road fatalities suggest that medical responders are overwhelmed by the need to save lives in a timely manner. This is due to a lack of affordable autonomous detection and notification mechanisms. Prior work in this domain includes the use of vehicular ad hoc networks, Arduinos, and Raspberry Pis; machine-learning approaches for predictions; and smart devices using integrated sensors. These methods are either expensive to acquire, human-reliant, or require vehicular modifications. Therefore, the aim of this study is to suggest a cheap prototype that can work with smartphones. The prototype should have embedded micro-electromechanical system (MEMS) sensors that measure g-force to find car accidents and global system for mobile communications-long term evolution (GSM-LTE) to call the closest medical responders, which would be found using GPS. A prototype was developed using the .NET Multi-Platform App UI (MAUI) framework. This study applied the design science research methodology (DSRM) to produce a socially acceptable, low-cost artifact similar to existing in-vehicle systems to save lives on the road during a road traffic accident. The FEDS evaluation of the results indicated that smartphones can perform such complex tasks with reasonable accuracy compared with expensive in-vehicle systems. The prototype can be adopted by lower- to middle-class individuals as it is a cheaper alternative. This study makes a practical contribution to the society by utilizing artifacts to ensure road safety.

A travel companion for road emergencies

A travel companion for road emergencies

Cite this article as:
R. Langa, M. Moeti, and S. Kgoete, “An Automated Smartphone-Capable Road Traffic Accident Notification System,” J. Adv. Comput. Intell. Intell. Inform., Vol.28 No.4, pp. 939-952, 2024.
Data files:
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