Bala Murugan M S

Electronics

School of Electronics Engineering

Chennai Campus

Antriksh sharma

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Indian Journal of Science and Technology

Objective: The train collision avoidance system (TCAS) is a synergic approach for intervention of train in danger zone using Internet of things. Methods: The proposed system surveillance the signal condition and observe the disobedience of the track signal. A sensor is placed beneath the track, which senses the pressure, temperature, altitude of the track. The presence of train is observed by heavy pressure, change in temperature, and altitude on the track. Eventually, the system notifies the intervention of train being in danger zone using Internet of things by ThingSpeak IoT platform. An alarm is given to the train side that blow through Beaglebone black using Wi-fi module and if locomotive pilot does not respond, then the train stops by controlling braking system. Findings: Track signal plays a paramount role in cognizance of train’s direction. The disobedience of signal results in collision, derailment, and conflict. It is mainly occurred due to human error or rigid climate conditions like fog, rain and affects thousands of lives. TCAS-IoT prevails the problem of overshooting the track signal and acknowledging the locomotive pilot about intervention of train in danger zone. Conclusion/Improvement: The proposed TCAS-IoT can avoid train collision and capable of taking action before collision or derailment of trains. It is a unique way to synthesize the intervention of train in danger zone and can save lot of precious lives. © Springer Nature Singapore Pte Ltd. 2018.

Lecture Notes in Electrical Engineering Intelligent Embedded Systems

Train Collision Avoidance System for Automatic Train Protection Using Internet of Things

RF Control based Mobile Robotic System for Search Mission with GPS Tracker

Journal	Indian Journal of Science and Technology
Publisher	Indian Society for Education and Environment
ISSN	0974-6846
Open Access	0