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Paper ID:IJSREM43610

Automatic Light Intensity Controller and Accident Reduction Control Method

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43610

Volume:

9 |

4 |

Apr 2025

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43610

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SG

Shivakumar G

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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SG

Shivakumar G

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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MK

Manjunath K

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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SN

Santosh Naik

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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Abstract

Nighttime road accidents are frequently associated with poor visibility and glare produced by high-intensity vehicle headlights. This paper presents an Automatic Light Intensity Controller and Accident Reduction Control Method designed to improve nighttime driving safety through automatic headlight control and accident detection. The proposed system employs an Arduino Uno as the main controller and uses a Light Dependent Resistor (LDR) to monitor surrounding light intensity and automatically adjust the vehicle headlight according to environmental conditions. The system also incorporates obstacle detection, a vibration sensor for accident detection, GPS for obtaining vehicle location, and GSM communication for transmitting emergency information. When an accident is detected, the vibration sensor provides an input to the controller, which obtains the location coordinates through the GPS module and sends an alert using the GSM module. The proposed approach reduces the need for manual headlight switching, minimizes glare to oncoming drivers, improves visibility, and provides rapid accident notification. Thus, the developed system provides an economical and practical approach for enhancing vehicle safety and reducing nighttime road accidents.

KEYWORDS

Automatic Headlight Control Arduino Uno LDR Accident Detection GPS GSM Vibration Sensor Road Safety Light Intensity Control.

Cite This Article

Shivakumar G, Shivakumar G, Manjunath K, Santosh Naik, "Automatic Light Intensity Controller and Accident Reduction Control Method," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, pp. 1-6, Apr 2025. https://doi.org/10.55041/IJSREM43610

Full Article/Conclusion

The Arduino-based Automatic Light Intensity Controller and Accident Reduction Control Method provides an integrated approach to improving vehicle safety through adaptive illumination and accident-response mechanisms. By employing an LDR and associated sensors, the system can automatically adjust headlight operation according to changing environmental conditions, thereby improving visibility and minimizing glare. The use of LED headlights also supports energy-efficient operation. The integration of vibration sensing, GPS location tracking, and GSM communication extends the system beyond conventional automatic headlight control by providing accident detection and emergency notification capabilities. The developed approach therefore provides a practical framework for reducing nighttime driving hazards, improving driver comfort, and supporting safer vehicle operation.

References

[1] E. Guerra and D. Díaz, “Development of adaptive headlights for improving road safety during night driving,” Proceedings of the 10th International Symposium on Automotive Lighting, pp. 231–240, 2011. [2] Y. Xia and Z. Yang, “Dynamic headlight control system for vehicles to improve night-time visibility,” Journal of Vehicle Engineering and Technology, vol. 38, no. 2, pp. 134–142, 2014. [3] Y. Liu and L. Wang, “Intelligent vehicle headlight system based on road condition monitoring,” International Journal of Automotive Technology, vol. 19, no. 5, pp. 883–892, 2018. [4] S. Sujatha and P. Chidambaram, “Automatic headlight dimming system based on ambient light intensity,” International Journal of Advanced Research in Electrical, Electronics, and Instrumentation Engineering, vol. 5, no. 6, pp. 5218–5223, 2016. [5] W. Tan and X. Zhang, “Design and implementation of automatic headlight brightness adjustment system for vehicles,” International Journal of Intelligent Systems and Applications, vol. 9, no. 11, pp. 57–64, 2017.  

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Publication Date

4/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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