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Mobile Agents based Smart System for Accident Free Level Crossing in Railways
R. Immanuel Rajkumar1, G. Sundari2

1R. Immanuel Rajkumar, Research Scholar, Sathyabama University, Chennai (Tamil Nadu), India
2Dr. G. Sundari, Dean Student Afairs, Sathyabama University, Chennai (Tamil Nadu), India
Manuscript received on 05 February 2019 | Revised Manuscript received on 18 February 2019 | Manuscript Published on 04 March 2019 | PP: 137-143 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2020017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Safety travel is an important motto of every journey. A massive improvement in technologies development which implemented in railway systems influenced travel a comfortable one. A track circuit, signaling system, data logging system and monitoring system makes a system a close monitored for every moment. But due to manual operations, human mistakes, signaling failures, manual overrides and human innocence creates a large disaster by accidents which lead to maximum loss of life. Mobile agents is a concept which periodically collect the information from various nodes by having mobility characteristics and without influence of any human operations, carry an information from one node to various nodes. Nodes like trains, signals, level crossing, track sensors which periodically update in the remote server, computing the actions based on the data received from the mobile agents. This leads to provide a smart intelligent system to predict and to avoid chance of occurrence of accidents. Mobile agents can override the current operations in railways, and even predict the chance of any accident occurrence. The more advantage of the proposed system is, it can be easily installed over the currently existing system which leads to better performance.
Keywords: Mobile Agent, Colision Avoidance, Level Crossing Sensors, Remote Tracking.
Scope of the Article: Mobile Agents