학술논문

IoT-Based Road Accident Rescue System Implementation for Smart City Applications
Document Type
Conference
Source
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2022 IEEE 2nd International Symposium on. :1-6 Dec, 2022
Subject
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Performance evaluation
Road accidents
Measurement units
Smart cities
Roads
Signal processing
Real-time systems
Road Accident
Inertial Measurement Unit (IMU)
Smart city
Internet of Things (IoT)
Road Safety
Language
Abstract
Road accidents are one of the biggest problems in the world, in which many precious lives have been lost. This work proposes a road vehicle accident detection system with location alerts to rescue accident victims. The main hardware modules include the MPU9250, a 9 degree-of-freedom (9-DoF) micro electro mechanical system (MEMS) based inertial measurement unit (IMU), Arduino nano with ESP8266 microcontroller and GPS. The IMU’s three axis accelerometer, gyroscope and magnetometer data are programmed to determine the orientation and position of the vehicle. A Wi-Fi-based communication is established using ESP8266 to send data received from sensor units to Google Firebase cloud servers in real-time. The performance of the developed device has been evaluated using a laboratory setup and also in real-time driving scenarios. The developed sensor module performs well on accident detection and emergency alert generation, which can be used in vehicles to save many lives in the event of an accident through its automatic alert service.