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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Published Paper Details
Paper Title: IoT-Based System for Automated Accident Detection and Rescue
Authors Name: SURAJ CHOUDHARY , PARAM SORNIYA , ISHITA , SABYAM SHARMA , Dr. Akhil Panday
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IJRTI_202442
Published Paper Id: IJRTI2504281
Published In: Volume 10 Issue 4, April-2025
DOI:
Abstract: One of the most common causes of death is auto accidents. The worst thing that may happen to a road user is a traffic accident, despite the fact that they happen regularly. The worst part is that we fail to learn from our on-the-road errors. Most people who use roads regularly are extremely familiar with the fundamental guidelines and safety procedures that should be followed, but it is only their own negligence that results in accidents and wrecks. Accidents and crashes are primarily caused by human error. Here are some examples of normal human actions that result in accidents. 1. Driving too fast; 2. Driving while intoxicated; 3. Distracting the driver; 4. Running red lights; 5. Avoid utilizing safety equipment, such as seatbelts and helmets; 6. Driving erratically and overtaking improperly in order to save lives in a traffic collision, we’re going to construct an Arduino-based car accident alert system that combines GPS, GSM, and an accelerometer. If the accelerometer detects an abrupt shift in the vehicle's axis, the GSM module alerts you and communicates the location of the accident to your cell phone. The GPS module's latitude and longitude are utilized to pinpoint the accident's location, which is provided as a Google Map link. The message also contains the vehicle's speed in knots.
Keywords: Core Concepts: IoT (Internet of Things) Accident Detection Rescue System Automated Response Smart Systems Connected Devices Sensor Networks Specific Technologies & Components: Sensors: (Specify types, e.g., Accelerometer, Gyroscope, GPS, Impact Sensor, Vibration Sensor) Microcontrollers: (e.g., Arduino, Raspberry Pi) Communication Protocols: (e.g., GSM, GPS, Wi-Fi, Bluetooth, LoRaWAN, NB-IoT) Cloud Computing Data Analytics Machine Learning (for pattern recognition, false positive reduction) GPS Tracking Geofencing Emergency Response Systems Notification Systems Mapping Technologies System Functionality & Features: Real-time Monitoring Location Tracking Impact Detection Anomaly Detection Emergency Alert Automated Notification Remote Assistance Faster Response Time Reduced Fatalities Application Areas: Vehicular Accidents (Car, Motorcycle, Truck) Industrial Accidents Personal Safety Elderly Care Lone Worker Safety Potential Challenges & Considerations: Reliability Accuracy Power Consumption Data Security Privacy Concerns Scalability Cost-Effectiveness Integration with Existing Infrastructure False Positive Reduction Related Research Areas: Intelligent Transportation Systems (ITS) Telematics Wearable Technology Smart Cities Emergency Medical Services (EMS)
Cite Article: "IoT-Based System for Automated Accident Detection and Rescue", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c482-c487, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504281.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2504281
Registration ID:202442
Published In: Volume 10 Issue 4, April-2025
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Page No: c482-c487
Country: jaipur, Rajasthan, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504281
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504281
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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