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DOI: 10.14569/IJACSA.2024.01508118
PDF

Integrated IoT-Driven System with Fuzzy Logic and V2X Communication for Real-Time Speed Monitoring and Accident Prevention in Urban Traffic

Author 1: Khadiza Tul Kubra
Author 2: Tajim Md. Niamat Ullah Akhund
Author 3: Waleed M. Al-Nuwaiser
Author 4: Md Assaduzzaman
Author 5: Md. Suhag Ali
Author 6: M. Mesbahuddin Sarker

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 8, 2024.

  • Abstract and Keywords
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Abstract: Road safety is a critical concern globally, with speeding being a leading cause of traffic accidents. Leveraging advanced technologies can significantly enhance the ability to monitor and control vehicle speeds in real time. Traditional methods of speed monitoring are often limited in their ability to provide real-time, adaptive interventions. Existing systems do not adequately integrate sensor data and decision-making processes to prevent speeding-related accidents effectively. This paper aims to address these limitations by proposing a novel system that utilizes Internet of Things (IoT) technology combined with fuzzy logic to monitor vehicle speeds and prevent accidents in real time. The proposed system integrates IoT sensors for continuous vehicle speed monitoring and employs a Fuzzy Inference System (FIS) to make decisions based on variables such as speed, alcohol presence, and driver fitness. The system also facilitates interaction between drivers and law enforcement through Vehicle-to-Everything (V2X) communication. The FIS implementation demonstrated effective speed control capabilities, accurately assessing and responding to various risk levels, thereby reducing the likelihood of speeding-related accidents. This research contributes to the advancement of road safety systems by integrating IoT and fuzzy logic technologies, offering a more adaptive and responsive approach to traffic management and accident prevention. Future enhancements will focus on incorporating machine learning techniques to dynamically adjust FIS rules based on real-time data and improve sensor network reliability to ensure more accurate and comprehensive monitoring.

Keywords: Internet of Things; high-speed monitoring; alcohol detection; matlab simulation; write FIS

Khadiza Tul Kubra, Tajim Md. Niamat Ullah Akhund, Waleed M. Al-Nuwaiser, Md Assaduzzaman, Md. Suhag Ali and M. Mesbahuddin Sarker, “Integrated IoT-Driven System with Fuzzy Logic and V2X Communication for Real-Time Speed Monitoring and Accident Prevention in Urban Traffic” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01508118

@article{Kubra2024,
title = {Integrated IoT-Driven System with Fuzzy Logic and V2X Communication for Real-Time Speed Monitoring and Accident Prevention in Urban Traffic},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01508118},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01508118},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Khadiza Tul Kubra and Tajim Md. Niamat Ullah Akhund and Waleed M. Al-Nuwaiser and Md Assaduzzaman and Md. Suhag Ali and M. Mesbahuddin Sarker}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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