Paper Title
A Network Resilient Vehicular Black Box for Automatic Accident Detection and Direct Medical Alerting.
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Registration ID: IJNRD_312179
Published ID: IJNRD2601331
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Keywords
Keywords: Accident detection, emergency alert system, vehicular black box, road safety, GPS tracking, intelligent transportation systems.
Abstract
ABSTRACT : Road traffic accidents continue to be a major cause of fatality worldwide, particularly in remote regions such as hilly areas, forests, rural highways, and during night time travel. In many cases, loss of life occurs not only due to the severity of injuries but also because emergency medical assistance fails to reach the accident location within the critical golden hour. Existing accident reporting mechanisms rely heavily on human intervention, mobile phones, or continuous network availability, which often become unreliable when victims are unconscious or network coverage is poor. This paper presents an automatic accident detection and emergency alert black box system designed to operate autonomously without user interaction. The proposed system is permanently installed in vehicles and continuously monitors vehicle dynamics using embedded sensors. Upon detecting a severe crash, the system automatically generates an emergency alert containing real time location and crash severity information. The alert is transmitted directly to nearby hospitals and ambulance services using adaptive communication methods, ensuring reliable operation even in low connectivity or network absent environments. Unlike conventional systems, the proposed solution is vehicle independent, compatible with multiple vehicle types, and equipped with an internal backup power supply to ensure functionality after power failure. In addition to emergency notification, the system performs continuous data logging for post accident analysis, similar to an aviation black box. Performance evaluation shows a significant reduction in accident detection time and rescue response delay, thereby improving survival probability. The proposed system offers strong potential for enhancing road safety infrastructure and saving lives in high risk and remote travel conditions.
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How To Cite (APA)
Mr. K BOOPESH, Dr. M Sindhu, Mr.R Sasikumar, & Mr. M Nandhakumar (January-2026). A Network Resilient Vehicular Black Box for Automatic Accident Detection and Direct Medical Alerting.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(1), d233-d236. https://ijnrd.org/papers/IJNRD2601331.pdf
Issue
Volume 11 Issue 1, January-2026
Pages : d233-d236
Other Publication Details
Paper Reg. ID: IJNRD_312179
Published Paper Id: IJNRD2601331
Research Area: Other area not in list
Author Type: Indian Author
Country: Salem, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2601331.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2601331
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