International Journal of Advances in Computer Science and Its Applications
Author(s) : ANIMESH DUTTA, ANKIT BHARDWAJ, SUPRIYO GHOSH
Multi-Agent based modeling & simulation is an evolving paradigm for solving real life problems for solving real life problems for the last one decade. In this paper, we model the manually controlled Indian Railway to a multi agent based automated system which is robust in nature and provide a fully automated collision avoidance guarantee. We consider individual entity such as station, junction and train as an agent and the whole railway network is framed as a graph. To sharpen the solutions of existing system´s problems such as collisions and delays, BDI agent with first order predicate logic is incorporated in this paper. The communication and coordination between respective agents (with help of their BDI and rule base running as backbone) can now be a substitution in place of manual decisions. Thus the idea can replace the hectic job of railway control room personals in more sophisticated & methodical way.