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  DOI Prefix   10.20431


 

International Journal of Research Studies in Computer Science and Engineering
Volume 3, Issue 5, 2016, Page No: 14-19
doi:dx.doi.org/10.20431/2349-4859.0305002

Intelligent Ambulance Fleet Management System

Monica Chhabria1, Latika Wadhwa1, Shruti Dhumale1, Omkar Patinge1, Gresha Bhatiai2

1.Student Computer Engineering, Vivekanand Education Society Institute of Technology, Mumbai, India
2.Deputy HOD, Computer Engineering Vivekanand Education Society Institute of Technology, Mumbai, India

Citation : Monica Chhabria,et.al, Intelligent Ambulance Fleet Management System International Journal of Research Studies in Computer Science and Engineering 2016, 3(5) : 14-19

Abstract

The time after a medical mishap if used optimally serves as a measure of the effectiveness of any ambulance service provider system. For a minimal loss of life recovery actions should be taken in time. In spite of advancement of technology in today's world, the service providers are not well equipped. Also, problems like routing problems and traffic congestions hamper their speedy recovery action in real time. Our aim is to save maximum number of lives in an emergency by reducing the reaction time by various means. Pre-registration and extracting the real-time location helps to reduce the reaction time. Another approach is by providing the shortest path to the ambulance driver. We identified that the current traffic situation is the biggest challenge for the ambulance to reach in time. Thus coordination with the traffic control room is essential in solving this problem. The proposed system is fully automated and thus allows to book an ambulance, to which system allocates ambulance and inform TCR in case of extreme emergency.


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