An approach to Avoiding Train Collision in Railway Sectors Using Multi Agent System
Immanuel Rajkumar, P.E. Sankaranarayanan, G. Sundari · Procedia Computer Science · 2015
In the recent years there is a huge improvement happening in the field of signaling and tracking for train traffic. Even efforts have been on, still there is a continuing story of railway disaster frequently happening. The proposed work comes with a novel suggestion for this problem. The current techniques employ the basics of older systems like blocking system and now partly GPS technology has been incorporated in that. Our proposed novel system uses the concepts of Multiple Mobile Agents usage to enable collection of all position information of various trains and get processed the received information and then taking the decision of controlling the movements of trains by themselves during a collision situation occurring. The advantage of our proposed system is that Agents not only collect information but also provide enough intelligence to effect collision avoidance of trains. The details are presented in the paper.