An intelligent IoT emergency vehicle warning system using RFID and Wi-Fi technologies for emergency medical services

Yeong Lin Lai, Yung Hua Chou, Li Chih Chang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

BACKGROUND: Collisions between emergency vehicles for emergency medical services (EMS) and public road users have been a serious problem, impacting on the safety of road users, emergency medical technicians (EMTs), and the patients on board.

OBJECTIVE: The aim of this study is to develop a novel intelligent emergency vehicle warning system for EMS applications.

METHODS: The intelligent emergency vehicle warning system is developed by Internet of Things (IoT), radio-frequency identification (RFID), and Wi-Fi technologies.

RESULTS: The system consists of three major parts: a system trigger tag, an RFID system in an emergency vehicle, and an RFID system at an intersection. The RFID system either in an emergency vehicle or at an intersection contains a controller, an ultrahigh-frequency (UHF) RFID reader module, a Wi-Fi module, and a 2.4-GHz antenna. In addition, a UHF ID antenna is especially designed for the RFID system in an emergency vehicle. The IoT system provides real-time visual warning at an intersection and siren warning from an emergency vehicle in order to effectively inform road users about an emergency vehicle approaching.

CONCLUSION: The developed intelligent IoT emergency vehicle warning system demonstrates the capabilities of real-time visual and siren warnings for EMS safety.

Original languageEnglish
Pages (from-to)43-55
Number of pages13
JournalTechnology and health care : official journal of the European Society for Engineering and Medicine
Volume26
Issue number1
DOIs
Publication statusPublished - 2018 Jan 1

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Information Systems
  • Biomedical Engineering
  • Health Informatics

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