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Accident Detection on Curved Roads Using Infrared Sensors in Hilly Regions A Case of Chadoora Tehsil, Badgam (J&K)

Author

Listed:
  • Haiqa Khursheed

    (M. tech Scholar, Highway and Transportation Engineering, Department of Civil Engineering, Rayat-Bahra University, Mohali, Punjab, India, P.O. Box Number 140105,)

  • Ajay Vikram

    (Assistant professor, Department of civil engineering, Rayat-Bahra University, Mohali, Punjab, India, P.O. Box Number 140105,)

  • Preetpal Singh

    (Assistant professor, Department of civil engineering, Rayat-Bahra University, Mohali, Punjab, India, P.O. Box Number 140105,)

Abstract

This study investigates the application of Infrared (IR) sensors for accident detection and prevention on curved roads in hilly region of Kashmir. The area’s narrow, winding roads with poor visibility, especially at sharp curves, pose significant safety challenges. The proposed model leverages IR sensors to detect oncoming vehicles at blind curves, triggering visual alerts through light indicators to warn drivers in real- time. This proactive approach aims to minimize collisions, particularly in low- visibility conditions. The system is designed with sustainability in mind, operating on locally generated power to ensure functionality in remote areas. The research follows a qualitative methodology, analysing secondary data, including accident records from the Chadoora Police Station for. This study demonstrates how IR sensors, combined with visual warning systems, can enhance road safety by extending visibility and providing timely alerts to drivers. Implementation of this model requires adequate funding, technological resources, and administrative support.

Suggested Citation

  • Haiqa Khursheed & Ajay Vikram & Preetpal Singh, 2025. "Accident Detection on Curved Roads Using Infrared Sensors in Hilly Regions A Case of Chadoora Tehsil, Badgam (J&K)," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(5), pages 28-32, May.
    • Handle: RePEc:bjb:journl:v:14:y:2025:i:5:p:28-32
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