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Road accidents, especially on abandoned and remote roads, often go undetected, leading to significant delays in emergency response and increased fatality rates. Traditional accident detection systems rely heavily on manual reporting, which is ineffective in cases where victims are unconscious or unable to call for help. To address these challenges, we propose the Smart AI-Enabled Accident Detection and Emergency Response System, an advanced, AI-powered solution integrating machine learning, IoT, real-time GPS tracking, blockchain security, and smart traffic management to ensure rapid and efficient emergency response.

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Smart AI-Enabled Accident Detection and Emergency Response System for Abandoned Roads

  • 会议论文

  • 发表日期：

    2026年

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  • Harsh Kumar,
  • Charanjit Singh,
  • Ayush Kumar Singh,
  • Nikhil Kumar,
  • Tanu,
  • Navjot Singh Talwandi

摘要

Road accidents, especially on abandoned and remote roads, often go undetected, leading to significant delays in emergency response and increased fatality rates. Traditional accident detection systems rely heavily on manual reporting, which is ineffective in cases where victims are unconscious or unable to call for help. To address these challenges, we propose the Smart AI-Enabled Accident Detection and Emergency Response System, an advanced, AI-powered solution integrating machine learning, IoT, real-time GPS tracking, blockchain security, and smart traffic management to ensure rapid and efficient emergency response.