Autonomous Streetlight Brightness and Angle Adjustment System for Enhanced Road Safety and Energy Efficiency

An increasing number of road traffic accidents (RTAs) and the limitations of traditional streetlight systems have prompted the development of more intelligent, adaptive lighting solutions. This paper introduces an autonomous streetlight system that adaptively modifies brightness and angle coverage in response to environmental conditions and the presence of vehicles. The system incorporates a Raspberry Pi Pico 2 W microcontroller, Light Dependent Resistor (LDR) sensors, piezoelectric sensors, and MG995 servo motors to enhance energy efficiency and improve road safety. It also utilises Internet of Things (IoT) platforms such as Adafruit IO to facilitate fault detection with a status indicator, and GPS-based location tracking which enables prompt restoration, resulting in a reduction of energy consumption compared to conventional systems. Real testing has demonstrated the system’s reliability, addressing the limitations of conventional street lighting and setting the stage for smarter urban infrastructure.

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Publication Details

Journal
Journal of Smart Science and Technology
Published
2025-09-30
DOI
https://doi.org/10.24191/jsst.v5i2.120
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
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article

Autonomous Streetlight Brightness and Angle Adjustment System for Enhanced Road Safety and Energy Efficiency

Muhd Firdaus Muhd Yusoff, Hadi Jumaat, Nur Atiqah Abdul Rahman, Esham Shukery Samsudin
Journal of Smart Science and Technology
Impact of Light on Environment and Health
article

Autonomous Streetlight Brightness and Angle Adjustment System for Enhanced Road Safety and Energy Efficiency

Muhd Firdaus Muhd Yusoff, Hadi Jumaat, Nur Atiqah Abdul Rahman, Esham Shukery Samsudin
article en

Abstract

An increasing number of road traffic accidents (RTAs) and the limitations of traditional streetlight systems have prompted the development of more intelligent, adaptive lighting solutions. This paper introduces an autonomous streetlight system that adaptively modifies brightness and angle coverage in response to environmental conditions and the presence of vehicles. The system incorporates a Raspberry Pi Pico 2 W microcontroller, Light Dependent Resistor (LDR) sensors, piezoelectric sensors, and MG995 servo motors to enhance energy efficiency and improve road safety. It also utilises Internet of Things (IoT) platforms such as Adafruit IO to facilitate fault detection with a status indicator, and GPS-based location tracking which enables prompt restoration, resulting in a reduction of energy consumption compared to conventional systems. Real testing has demonstrated the system’s reliability, addressing the limitations of conventional street lighting and setting the stage for smarter urban infrastructure.

Journal of Smart Science and TechnologyVol. 5(2)
Universiti Malaysia Sarawak (MY)
Openalex Percentile: Top 74%
Impact of Light on Environment and Health
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Autonomous Streetlight Brightness and Angle Adjustment System for Enhanced Road Safety and Energy Efficiency — Muhd Firdaus Muhd Yusoff, Hadi Jumaat, et al. · Journal of Smart Science and Technology (2025) | TGRS Research Map | TGRS