Revolutionizing Traffic Light Systems: AI Implementation For Efficiency And Safety
DOI:
https://doi.org/10.31004/innovative.v5i2.18312Keywords:
Traffic Lights, Artificial Intelligence, Transportation Efficiency, Road Safety, IndonesiaAbstract
Traffic light systems play a crucial role in modern transportation management by improving traffic efficiency and road safety. However, challenges arise, particularly in adapting to dynamic traffic conditions in developing countries like Indonesia. This article discusses how the implementation of Artificial Intelligence (AI) can transform traffic light systems into more adaptive and responsive infrastructures. Studies indicate that AI-based technologies can reduce congestion by up to 30%, decrease greenhouse gas emissions, and enhance intersection safety. The article also examines the challenges of implementing this technology in Indonesia and provides strategic recommendations for its success.
References
Chen, J., Wang, X., & Li, Y. (2022). Intelligent Traffic Light Control System Using AI. Journal of Transportation Engineering, 48(3), 123–135.
Ministry of Transportation. (2022). Indonesian Traffic Statistics.
Smith, A., & Jones, B. (2020). AI-Driven Traffic Management. Transportation Research Part C, 98, 456–472.
Zhang, T., Liu, Y., & Gao, M. (2019). Adaptive Traffic Signal Control Using Machine Learning. International Journal of Artificial Intelligence Applications, 36(4), 200-215.
Wahyudi, S. (2020). IoT Applications in Transportation. Jurnal Teknologi Indonesia, 15(2), 88-94.
Sugiharto, D. (2021). Traffic Management in Indonesia. Jurnal Teknik Sipil Indonesia, 12(1), 45-58.
National Statistics Agency (2021). Road Traffic Accident Data.
Liu, H., & Zhou, Q. (2019). Real-Time Traffic Management System with AI Implementation. Transportation Research, 34(5), 123-134.
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