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5G and IoT Based Reporting and Accident Detection (RAD) System to Deliver First Aid Box Using Unmanned Aerial

Monagi H Alkinani1, Abdulwahab Ali Almazroi2, N Z Jhanjhi3

  • 1Department of Computer Science and Artificial Intelligence, College of Computer Sciences and Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

A new, affordable accident detection system uses smartphone data to quickly alert emergency services and relatives. This intelligent transportation system improves road safety in smart cities by reducing response times for critical aid.

Keywords:
5GIoTedge computingintelligent transportationunmanned aerial vehicles

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Area of Science:

  • Engineering
  • Computer Science
  • Transportation Systems

Background:

  • Intelligent Transportation Systems (ITSs) leverage Internet of Things (IoT) and 5G for enhanced road safety in smart cities.
  • Increasing vehicle numbers lead to more road accidents, with delayed casualty reporting causing preventable deaths.
  • Existing ITS solutions for accident detection are often vehicle-incompatible and expensive.

Purpose of the Study:

  • To develop a low-cost, universally compatible accident detection and reporting system for smart cities.
  • To reduce the time between an accident and the arrival of medical assistance and notification of relatives.
  • To enhance the efficiency of emergency response in urban environments.

Main Methods:

  • Developed an Android application to collect real-time data (sound, gravity, pressure, speed, location) from smartphones.
  • Implemented an accident identification algorithm using sensor data, with speed data enhancing accuracy.
  • Integrated a navigation system to dispatch emergency services (ambulance, UAV with first aid) and inform stakeholders.

Main Results:

  • The proposed system demonstrated improved accuracy and reduced response times compared to existing methods in simulations.
  • The system effectively utilizes readily available smartphone sensors for accident detection.
  • Successful integration of data collection, accident identification, and emergency dispatch was achieved.

Conclusions:

  • The developed Reporting and Accident Detection (RAD) system offers a cost-effective and compatible solution for smart city road safety.
  • The system significantly enhances the speed and accuracy of accident response, potentially saving lives.
  • This approach represents a promising advancement in leveraging mobile technology for intelligent transportation and emergency management.