Abstract
Nowadays, due to the exploding growth of vehicles which paves a way for the unusual population in the road traffic, accidents are becoming more and more common among people. There are various factors which causes accidents. This paper lists out the classification of accidents and various solutions provided to avoid accidents as well as to overcome from accidents when it is encountered. Classification of accidents includes accidents by pedestrians, cyclists, mass casualty and animal accidents. The various solutions to avoid as well as to overcome accidents include usage of smart phones, VANET and GSM along with GPS. The proposed solution detects the accident and sends ambulance to the accident area by the usage of sensors. In this paper a derived factor named Crash rate analysis is used to determine the number of ambulances required for the accident area to take up the recovery process. This work is intended to provide better and faster lifesaving solutions for the road accidents.
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Acknowledgment
The authors would like to thank the Management, Director, Principal and Head of the Department of Computer Science and Engineering of Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India for their motivation and the support rendered to carry out this work.
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Sureshkumar, S., Saad Ahamed, M., Sanjay, P., Saravanan, R. (2020). Auto Emergent System (AES). In: Smys, S., Senjyu, T., Lafata, P. (eds) Second International Conference on Computer Networks and Communication Technologies. ICCNCT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-030-37051-0_57
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DOI: https://doi.org/10.1007/978-3-030-37051-0_57
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