Bonfring International Journal of Software Engineering and Soft Computing

Impact Factor: 0.375 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)


Train Collision Avoidance System

Shreyapatil


Abstract:

The number of collisions occurred in railways. Because collisions were occurred due to track cracking and not identified the trains coming on the same track at the right time. Maximum peoples were losing their lives due to collision. Most of the accidents were occurred with negligence of humans and without proper communication from Train Traffic Control Station (TTCS).to prevent this problem we identified a sensors which will identify the railway track cracks and identify the opposite train in the same track within a short time. The purpose of the project is to develop and design a low-cost system with high integrity and reliability for enhancing to prevent the train?s collision in adverse weather situations, such as a foggy or rainy and identify the track problems. In this we used UV sensors, IR sensors, LPC2148 processor to prevent train collision as well as track cracks. In this paper we alert the station master, driver to avoid the train collisions with the help of GSM

Keywords: Train Traffic Control Station (TTCS), UV Sensors, IR Sensors, GSM, LPC 2148 Processor.

Volume: 6 | Issue: Special Issue on Advances in Computer Science and Engineering and Workshop on Big Data Analytics Editors: Dr.S.B. Kulkarni, Dr.U.P. Kulkarni, Dr.S.M. Joshi and J.V. Vadavi

Pages: 82-85

Issue Date: October , 2016

DOI: 10.9756/BIJSESC.8248

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