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.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350358155 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024 - Omu-Aran, Nigeria Duration: 2 Apr 2024 → 4 Apr 2024 |
Publication series
| Name | International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024 |
|---|
Conference
| Conference | 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024 |
|---|---|
| Country/Territory | Nigeria |
| City | Omu-Aran |
| Period | 2/04/24 → 4/04/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- Cost Minimization
- Energy Usage
- Random Variable
- Smart Traffic Optimization
- Ultrasonic Sensor
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Renewable Energy, Sustainability and the Environment
- Computational Mathematics
- Health Informatics
- Instrumentation
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