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Impact of vehicular networks on emergency medical services in urban areas

  • National Yang Ming Chiao Tung University
  • Chang Gung University

Research output: Contribution to journalJournal Article peer-review

16 Scopus citations

Abstract

The speed with which emergency personnel can provide emergency treatment is crucial to reducing death and disability among acute and critically ill patients. Unfortunately, the rapid development of cities and increased numbers of vehicles are preventing emergency vehicles from easily reaching locations where they are needed. A significant number of researchers are experimenting with vehicular networks to address this issue, but in most studies the focus has been on communication technologies and protocols, with few efforts to assess how network applications actually support emergency medical care. Our motivation was to search the literature for suggested methods for assisting emergency vehicles, and to use simulations to evaluate them. Our results and evidence-based studies were cross-referenced to assess each method in terms of cumulative survival ratio (CSR) gains for acute and critically ill patients. Simulation results indicate that traffic light preemption resulted in significant CSR increases of between 32.4% and 90.2%. Route guidance was found to increase CSRs from 14.1% to 57.8%, while path clearing increased CSRs by 15.5% or less. It is our hope that this data will support the efforts of emergency medical technicians, traffic managers, and policy makers.

Original languageEnglish
Pages (from-to)11348-11370
Number of pages23
JournalInternational Journal of Environmental Research and Public Health
Volume11
Issue number11
DOIs
StatePublished - 31 10 2014

Bibliographical note

Publisher Copyright:
© 2014 by the authors; licensee MDPI, Basel, Switzerland.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Cumulative survival ratio
  • Emergency medical services
  • Vehicular ad hoc networks

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