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Automated Train using Genetic Algorithm for Railway Scheduling with GPS


Author : Neha Deotale and Manish Katkar

Pages : 1553-1555
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Abstract

This work has proposed to develop and implement a model of an efficient unmanned Metro Train using train scheduling software with automated control system. Model developed for Metro Train with sensors, wireless communication, control system and GPS to control train remotely or by itself and prevents trains from disaster. All information are available in database, so it’s easy to schedule a train for any journey. All process will be done automatically, so administrator would not worry about scheduling and allocating track for particular session. Through the exchange of information between train and computer server control unit, the train schedule software produces more reliable and precise core train control data, trains starts moving or stop according to generated data instructions and scheduled time. Because of this continuous communication train’s movement on track can seen on server’s monitor screen on some stations. This generated data instructions will stored in train control system as in cache, this cache can be used as a backup if computer server get down or communication fails. If two trains come on same track or two trains become in front of each other then train will be automatically stop, this activity can be seen on computer’s screen.

Keywords: Unmanned Metro Train, sensors, control system, GPS

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)

 

 

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