IoT-based automated case generation system for traffic rule violations

This project presents a smart, economical, and accessible traffic control system that utilizes RFID technology, Node MicroController Unit (NodeMCU), internet connectivity, and Light Emitting Diode (LEDs) to effectively monitor and manage vehicle flow at road intersections. It is specifically designed to address the mounting urban traffic issues in Bangladesh, a densely populated and rapidly urbanizing country. The surge in the number of vehicles has overwhelmed conventional traffic management methods, often hampered by enforcement gaps and noncompliance with regulations, resulting in persistent congestion and inefficiencies. The proposed system uses RFID to detect vehicles and assess traffic density in real time, enabling dynamic and adaptive traffic signal control. With NodeMCU and internet connectivity, it facilitates streamlined communication and remote supervision, while LEDs provide clear instructions to drivers. By automating traffic regulation, the system reduces reliance on manual operations, mitigating corruption and enhancing enforcement effectiveness. Moreover, it fosters greater adherence to traffic laws by introducing a transparent, technology-driven framework. This innovative traffic management solution not only alleviates congestion but also cultivates a culture of compliance, contributing to the overall improvement of urban transportation networks. Its emphasis on integrating modern technology into traffic control aligns with the principles of sustainable urban development, offering a scalable and transformative approach to addressing Bangladesh's escalating traffic challenges.

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Publication Details

Journal
Review of Information Engineering and Applications
Published
2025-02-10
DOI
https://doi.org/10.18488/79.v12i1.4083
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

IoT-based automated case generation system for traffic rule violations

Md. Amirul Islam, Mahfujur Rahman
Review of Information Engineering and Applications
Network Security and Intrusion Detection
article

IoT-based automated case generation system for traffic rule violations

Md. Amirul Islam, Mahfujur Rahman
article en

Abstract

This project presents a smart, economical, and accessible traffic control system that utilizes RFID technology, Node MicroController Unit (NodeMCU), internet connectivity, and Light Emitting Diode (LEDs) to effectively monitor and manage vehicle flow at road intersections. It is specifically designed to address the mounting urban traffic issues in Bangladesh, a densely populated and rapidly urbanizing country. The surge in the number of vehicles has overwhelmed conventional traffic management methods, often hampered by enforcement gaps and noncompliance with regulations, resulting in persistent congestion and inefficiencies. The proposed system uses RFID to detect vehicles and assess traffic density in real time, enabling dynamic and adaptive traffic signal control. With NodeMCU and internet connectivity, it facilitates streamlined communication and remote supervision, while LEDs provide clear instructions to drivers. By automating traffic regulation, the system reduces reliance on manual operations, mitigating corruption and enhancing enforcement effectiveness. Moreover, it fosters greater adherence to traffic laws by introducing a transparent, technology-driven framework. This innovative traffic management solution not only alleviates congestion but also cultivates a culture of compliance, contributing to the overall improvement of urban transportation networks. Its emphasis on integrating modern technology into traffic control aligns with the principles of sustainable urban development, offering a scalable and transformative approach to addressing Bangladesh's escalating traffic challenges.

Review of Information Engineering and ApplicationsVol. 12(1)
National University Bangladesh (BD), Jahangirnagar University (BD)
Openalex Percentile: Top 97%
Network Security and Intrusion Detection
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IoT-based automated case generation system for traffic rule violations — Md. Amirul Islam, Mahfujur Rahman · Review of Information Engineering and Applications (2025) | TGRS Research Map | TGRS