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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 3, 2020.
Abstract: The internet of things (IoT) leads the noteworthy edges above customary information and communication technologies (ICT) for Intelligent Transportation Systems (ITS). The progression in the transportation system, the increment in vehicles and the accidents happened on the roads are cumulative up to an alarming situation. Additionally, 1.256 million people expire by the road bumps every year and it is very problematic to find the precise accident location of the user. If an accident occurs, the survival rate of the victim increases, if he is given instantaneous remedial assistance. You can provide remedial assistance to the victim only when you identify the precise location of accident. The main persistence of this system is to identify an accident and find the location of the user. After tracing the location, the system will search nearby hospitals for remedial treatment. System will send a message that contains user's current location, to the nearby hospitals in case of an emergency. System will acquire recommended contacts from the cloud and also send message to them for user’s support by using API. If the user is safe, he can cancel the message that is being sent to the nearest hospital and the recommended contacts. This system will help the users in saving their lives within minimal time.
Shoaib ul Hassan, Jingxia CHEN, Tariq Mahmood and Ali Akbar Shah, “Accident Detection and Disaster Response Framework Utilizing IoT” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110348
@article{Hassan2020,
title = {Accident Detection and Disaster Response Framework Utilizing IoT},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110348},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110348},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {3},
author = {Shoaib ul Hassan and Jingxia CHEN and Tariq Mahmood and Ali Akbar Shah}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.