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Energy Efficient Control Approach for Street Lighting

Abstract

In the ever-evolving landscape of urban development, traditional street lighting proves static and energy-inefficient. This article shows an adaptive control system using LED technology, real-time traffic analysis, and ultrasonic sensors. The approach, backed by recent field studies, aims to reform the street illumination. Through thorough engineering, this paper presents a dynamic system capable of retorting to the dynamic demands of the urban environment. The system not only curtails unnecessary energy consumption and environmental impact but introduces a cost-effective model for energy savings. Leveraging state-of-the-art LED advancements, joined with the precision of real-time traffic insights, our system excels in adaptability and sustainability. The experiments conducted showcase remarkable reductions in energy consumption 29.33% compared to traditional methods and underscore the potential for widespread implementation. This article not only addresses the need for energy optimization in urban areas but marks a transformative leap towards efficient, intelligent, and eco-conscious street lighting.

Research topics

  • Impact of Light on Environment and Health
  • Embedded Systems and FPGA Design

Sustainable Development Goals

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DOI: 10.1109/seb4sdg60871.2024.10629873

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