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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 7, JULY 2021

IOT BASED TRAIN ACCIDENT AND LOCATION TRACKING SYSTEM

Kowsalya M, Yogeshwari A, Sindhu T, Shilpa C

DOI: 10.17148/IJARCCE.2021.107102

Abstract: This project is to design and implement the smart train Black box system for train accident and security system. The rapid rise of technology and infrastructure has made our lives easier. The high demand of automobiles has also increased the traffic hazards and road accidents. Life of the people is under high risk. The delay in reaching of the ambulance to the accident location and the traffic congestion in between accident location and hospital increases the chances of death of the victim. This proposed IOT based accident detection system helps to reduce the loss of life due to accidents and also reduces the time taken by the ambulance to reach the hospital. To detect the accident there is accelerometer sensor present in this rescue system and the IOT module included sends messages about the location to the respective guardian and rescue team. This automatic ambulance rescue system project is useful in detecting the accident. The sensor will work as a providing security to the owner who is inside the train.

Keywords: IDE, LDO, RST, DIP Black box system.

How to Cite:

[1] Kowsalya M, Yogeshwari A, Sindhu T, Shilpa C, “IOT BASED TRAIN ACCIDENT AND LOCATION TRACKING SYSTEM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.107102