SMARTSTREET: Beyond Illumination

The rapid expansion of urban environments and the evolution of smart city initiatives have significantly increased the demand for intelligent, energy-efficient, and safety-oriented in-frastructure systems. Conventional street lighting systems operate statically at full brightness and lack adaptive control, predictive maintenance, and disaster detection mechanisms. This results in excessive energy consumption, delayed maintenance, and reduced infrastructure resilience. This paper proposes SmartStreet, an IoT-enabled intelligent street lighting system integrating adaptive illumination, real-time fault detection, disaster monitoring, and GSM-based alert communication. The system utilizes LDR, ultrasonic, vibration sensors coordinated through an ESP32 microcontroller. Experimental results demonstrate approximately 70% energy savings, and improved emergency response times. The proposed system is scalable, modular, and aligned with global sustainability and smart city development goals.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-02
DOI
https://doi.org/10.5281/zenodo.19971410
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00
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article

SMARTSTREET: Beyond Illumination

Arra Vaishnavi, Arra Sravani, K Mounika, M Ashwitha et al.
Zenodo (CERN European Organization for Nuclear Research)
Impact of Light on Environment and Health
article

SMARTSTREET: Beyond Illumination

Arra Vaishnavi, Arra Sravani, K Mounika, M Ashwitha, V Gopinath
article en

Abstract

The rapid expansion of urban environments and the evolution of smart city initiatives have significantly increased the demand for intelligent, energy-efficient, and safety-oriented in-frastructure systems. Conventional street lighting systems operate statically at full brightness and lack adaptive control, predictive maintenance, and disaster detection mechanisms. This results in excessive energy consumption, delayed maintenance, and reduced infrastructure resilience. This paper proposes SmartStreet, an IoT-enabled intelligent street lighting system integrating adaptive illumination, real-time fault detection, disaster monitoring, and GSM-based alert communication. The system utilizes LDR, ultrasonic, vibration sensors coordinated through an ESP32 microcontroller. Experimental results demonstrate approximately 70% energy savings, and improved emergency response times. The proposed system is scalable, modular, and aligned with global sustainability and smart city development goals.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Impact of Light on Environment and Health
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