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International Journal of Science, Strategic Management and Technology

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IOT-ENABLED SMART BLIND CURVE COLLISION AVOIDANCE SYSTEM USING HYBRID SENSOR FUSION AND SOLAR ENERGY FOR MOUNTAIN ROADS

AUTHORS:
Sangram Bajrang Koli
Muskan Nasir Dange
Sakshi Suresh Sawant
Sayli Jaywant Yadav
Shraddha Nitin Jamdade
Mentor
KULDEEP B. PAWAR
Affiliation
Department of Electrical Engineering Shree Santkrupa Institute of Engineering and Technology Karad, India.
DOI: 10.55041/ijsmt.v2i6.078
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Road accidents in mountainous and curved road regions continue to increase due to poor visibility, blind turns, and delayed driver response. Conventional traffic warning systems are often ineffective in remote areas because of limited infrastructure and lack of real-time monitoring. This paper proposes an IoT-enabled smart blind curve collision avoidance system that combines radar sensing, ultrasonic detection, GSM communication, and solar-powered embedded control to improve road safety in hilly environments. The proposed system utilizes hybrid sensor fusion techniques for accurate vehicle detection under varying weather and visibility conditions. An ATmega328P microcontroller processes real-

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 6
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Jun 08 2026
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Koli, S. B., Dange, M. N., Sawant, S. S., Yadav, S. J. & Jamdade, S. N. (2026). IOT-Enabled Smart Blind Curve Collision Avoidance System using Hybrid Sensor Fusion and Solar Energy for Mountain Roads. International Journal of Science, Strategic Management and Technology, 02(6). https://doi.org/10.55041/ijsmt.v2i6.078

Koli, Sangram, et al.. "IOT-Enabled Smart Blind Curve Collision Avoidance System using Hybrid Sensor Fusion and Solar Energy for Mountain Roads." International Journal of Science, Strategic Management and Technology, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i6.078.

Koli, Sangram,Muskan Dange,Sakshi Sawant,Sayli Yadav, and Shraddha Jamdade. "IOT-Enabled Smart Blind Curve Collision Avoidance System using Hybrid Sensor Fusion and Solar Energy for Mountain Roads." International Journal of Science, Strategic Management and Technology 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i6.078.

References
1.Kim, H. Yang, and J. Kim, “Blind Spot Detection Radar System Design for Safe Driving of Smart Vehicles,” Applied Sciences, vol. 13, no. 10, 2023.

2.Texas Instruments, “Entry-Level Blind Spot Detection Reference Design Using mmWave Radar,” 2024.

3.“Smart Blind Spot Detection System Using Ultrasonic Sensors,” ACR Journal, 2024.

4.“Motorcycle Blind Spot Detection System Using Radar and Ultrasonic Sensors,” IJARCCE,

5.Muzammel et al., “Blind-Spot Collision

6.Detection Using Multi Deep CNN Architecture,” arXiv, 2022.

7.Khadijah, “Car Driver Assisted Blind Spot Detection System,” University Malaysia Pahang, 2012.

8.GSM-Based Embedded Alert Systems for Remote Monitoring Applications, ResearchGate,

9.Renewable Energy-Based Embedded Systems for Remote Monitoring, IEEE Access, 2021.

10.Buzzi et al., “Radar Target Detection Aided by Reconfigurable Intelligent Surfaces,” arXiv, 2021.

 
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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