K. Sakthivel, D.Y. Vignesh, V. Sanjay, N. Hariharan, L. Umasankar, RMK College of Engineering and Technology, Chennai, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.04.07
International Journal of Advanced Information and Communication Technology
Received On : September 06, 2015
Revised On : October 10, 2015
Accepted On : November 05, 2015
Published On : December 05, 2015
Volume 02, Issue 12
Pages : 415-420
Abstract
The Indian Railways is one of the largest networks in the world. There are some problems yet to be solved that include train clashing when the operation of train exceeds out of control and time delay in the signals and displacement of train compartments due to presence of some large strange objects on the path of the train with some abnormalities in track. In this proposed system we have implemented our theoretical knowledge on Multi core Embedded System to overcome this existing problem. By implementing this system train automation can be done easily without any error and also develops the Multi core Embedded System along with the wireless technology which will reduce the human error to avoid train accidents up to 99% with absolute accuracy. The efficiency of the train operating unit can be controlled and maintained by the aid of this system. In this system the sensors are one of the most valuable unit along with MCEC to enhance the monitoring and controlling units of the train, hence the percentage of accuracy will be certainly higher. The necessary software has been used to monitor the flaws to prevent train accidents.
Keywords
MCEC (Multi Core Embedded Controller), IR Sensor, Light Dependent Resistor, Visual Basic Peripheral Interface Controller.
Cite this article
K. Sakthivel, D.Y. Vignesh, V. Sanjay, N. Hariharan, L. Umasankar, “Realization and Forestalling of Flaws and Ruining in Railway Network by MCEC ” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.415-420, December 05, 2015.
Copyright
© 2015 K. Sakthivel, D.Y. Vignesh, V. Sanjay, N. Hariharan, L. Umasankar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.