Paper Title

Smart Street Light Using Vehicle Movement

Article Identifiers

Registration ID: IJNRD_197447

Published ID: IJNRD2305822

DOI: Click Here to Get

Authors

Sakshi Dhakane , Abhishek Kumbharde , Vishal Sagare , Sushant Sanap

Keywords

Smart street lights, Arduino Uno, Vehicle movement, detection Motion sensors, Energy-efficient lighting, Sustainable urban lighting

Abstract

This research paper presents a smart street light system using Arduino, which offers an efficient and sustainable approach for urban lighting. The proposed system incorporates motion sensing, ambient light sensing, and remote monitoring and control features to improve energy efficiency, reduce maintenance costs, and enhance sustainability. Arduino-based microcontrollers are used to control LED lights, and motion sensors detect the presence of pedestrians or vehicles, adjusting the light intensity accordingly. Ambient light sensors measure natural light levels, and the system dynamically adjusts the street light brightness. Remote monitoring and control allow for real-time performance monitoring and adjustments. Experimental results demonstrate significant energy savings and reduced maintenance costs compared to traditional street lighting systems, contributing to sustainability by reducing carbon footprint and minimizing light pollution. This research provides insights into the development of smart street lighting systems and their potential benefits for urban environments, paving the way for more sustainable and smart cities in the future .As the traffic decreases slowly during late night hours,the intensity gets reduced rapidly till morning to save energy and so, the street lights switch on at the dusk and then switch off at the dawn,automatically. The process repeats every day. White Light Emitting Diodes (LED)replaces old conventional HID lamps in street lighting system to include dimming feature. The intensity is not possible to be controlled by the high intensity discharge(HID) lamp which is generally used in street lights. LED lights are the best for of lighting, because of their low energy consumption and long life. LED lights are fast replacing conventional lights because intensity control is possible by the pulse width modulation. This proposed system uses an Arduino board and a rectified power supply.String of LED are interfaced to the Arduino board with a MOSFET device. The intensity control of the LED light is possible by varying duty cycle from a DC source. A programmed Arduino board is engaged to provide different intensities at different times of the night using PWM technique. This project is also enhanced by integrating the LDR to follow the switching operation precisely.

How To Cite (APA)

Sakshi Dhakane, Abhishek Kumbharde, Vishal Sagare, & Sushant Sanap (May-2023). Smart Street Light Using Vehicle Movement . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), i169-i173. https://ijnrd.org/papers/IJNRD2305822.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : i169-i173

Other Publication Details

Paper Reg. ID: IJNRD_197447

Published Paper Id: IJNRD2305822

Downloads: 000121997

Research Area: Mechanical Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305822.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305822

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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