Rescue Emergency Drone for Fast Response to Medical Emergencies Due to Traffic Accidents

Anders Schmidt Kristensen, Dewan Ahsan, Saqib Mehmood, Shakeel Ahmed

Research output: Contribution to journalConference article in JournalResearchpeer-review

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Abstract

Traffic accidents are a result of the convergence of hazards, malfunctioning of vehicles and human negligence that have adverse economic and health impacts and effects. Unfortunately, avoiding them completely is very difficult, but with quick response to rescue and first aid, the mortality rate of inflicted persons can be reduced significantly. Smart and innovative technologies can play a pivotal role to respond faster to traffic crash emergencies comparing conventional means of transportation. For instance, Rescue Emergency Drone (RED) can provide faster and real-time crash site risk assessment to emergency medical services, thereby helping them to quickly and accurately assess a situation, dispatch the right equipment and assist bystanders to treat inflicted person properly. To conduct a research in this regard, the case of a traffic roundabout that is prone to frequent traffic accidents on the outskirts of Esbjerg, a town located on western coast of Denmark is hypothetically considered. Along with manual calculations, Emergency Disaster Management Simulation (EDMSIM) has been used to verify the response time of RED from a fire station of the town to the presumed crash site. The results of the study demonstrate the robustness of RED into emergency services to help save lives.
Original languageEnglish
Article number67
JournalInternational Journal of Health and medical Engineering
Volume11
Issue number11
Pages (from-to)637-641
Publication statusPublished - Nov 2017
Eventworld Academy of Science, Engineering and Technology.Conference - Marriott Hotel, Wembley, London, United Kingdom
Duration: 23 Nov 201724 Nov 2017

Conference

Conferenceworld Academy of Science, Engineering and Technology.Conference
LocationMarriott Hotel, Wembley
Country/TerritoryUnited Kingdom
CityLondon
Period23/11/201724/11/2017

Keywords

  • Automated external defibrillator
  • Medical emergency
  • Fire and rescue services
  • Response time
  • Unmanned aerial system

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