Traffic Light Control System Simulator with IoT

Authors

  • KITTITAT KHUNMAS Electronics Engineering Technology, Faculty of Industrial Technology, Buriram Rajabhat University
  • Thiraphon Thiaosod Electronics Engineering Technology, Faculty of Industrial Technology, Buriram Rajabhat University
  • Paphawin Laithaisong Electronics Engineering Technology, Faculty of Industrial Technology, Buriram Rajabhat University
  • Suwat Maneewan Electrical and Electronics Technology, Faculty of Industrial Technology, Buriram Rajabhat University

Keywords:

Traffic Light, Internet of Things, Microcontroller

Abstract

This article presents a traffic signal control system using IoT to enhance the efficiency of traffic signal management by officials. Traffic congestion caused by vehicles is a significant issue in many urban areas, and malfunctions or other irregularities in traffic lights often lead to gridlock, which negatively impacts the economy, the environment, and overall quality of life. The tools used in the research include microcontroller boards (Arduino, ESP32), electronic components, display screens, applications, and control functions operating in two modes. The experimental results show that, automatic Traffic Signal Control Mode: The system operates efficiently in this mode. IoT-Based Traffic Signal Control Mode: Utilizing the Blynk application, the system demonstrates effective performance, with accurate control in all channels via IoT connectivity.

References

Shashank, S., et al. (2021). IOT Based Traffic Management System. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 7(4), 184-187.

Mohandass, M. P., Kaliraj, I., Maareeswari, R., & Vimalraj, R. (2023). Iot based traffic management system for emergency vehicles. In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS),Vol.1, pp.1755-1759.

Shobana, S., et al. (2023). IoT based on Smart Traffic Lights and Streetlight System. In 2023 2nd International Conference on Edge Computing and Applications (ICECAA), pp.1311-1316.

Bhavana, P., et al. (2023). IoT based Dynamic Road Traffic Management System. Journal of physics, doi: 10.1088/1742-6596/2466/1/012025

Daraghmi, Y., et al. (2022). IoT-Based System for Improving Vehicular Safety by Continuous Traffic Violation Monitoring. Future Internet, doi: 10.3390/fi14110319.

Damadam, S., Zourbakhsh, M., Javidan, R., & Faroughi, A., (2022). An Intelligent IoT Based Traffic Light Management System: Deep Reinforcement Learning. Smart cities, doi: 10.3390/smartcities5040066

Atassi, R., & Sharma, A. (2023). Intelligent traffic management using IoT and machine learning. Journal of Intelligent Systems and Internet of Things, 8(2), 08-19.

Lakshminarasimhan, M. (2016). Advanced traffic management system using Internet of Things. In 20th International Conference on Advanced Communication Technology (ICACT), March 2016, 1-9.

Shaheen, Y. S., et al. (2021). Arduino Mega Based Smart Traffic Control System. Asian Journal of Advanced Research and Reports, 15(12), 43-52.

Mahalingam, S. S., & Arockiaraj, S., (2018). Density Based traffic Light Control using Arduino. International Journal of Advance Research and Innovative Ideas in Education, 4(5), 805-819.

Asyraful, Insan, Asry., Lutfi, Lutfi., Asmar, Umar., Riaz, Ahmad. (2024). Monitoring System for Traffic Light Lamp Damage using BLYNK Application Based on IOT ESP32. Jurnal Teknologi Transportasi dan Logistik, 5(1), 59-66.

Downloads

Published

29-12-2024

How to Cite

KHUNMAS, K., Thiaosod, T., Laithaisong, P., & Maneewan, S. (2024). Traffic Light Control System Simulator with IoT. Journal of Industrial Technology Buriram Rajabhat University, 6(2), 62–71. Retrieved from https://ph05.tci-thaijo.org/index.php/bru-idtech-journal/article/view/159

Issue

Section

Research article