Multi-agent based railway track management System

The amalgation of social science and multiagent research can be quite harmonious in the domain of multiagent based simulation providing active interdisciplinary advantages. The pivotal role of MABS is to enable agent modelling for a system reproduced to posses realistic behavior. The challenges present in this paper is to model the manually controlled railway system into a multiagent based coordination system. The real object or entity of the railway system being considered as an agent which has its own computational capabilities. The communication and coordination between respective agents can now be a substitution in the place of manual decisions. Thus the idea can replace the restless job of railway control room personals in a more sophisticated way. The paper finds its aim in 100% collision avoidance as well as optimised system delay in railway traffic thus eliminating manual errors causing disasters by proposing a robust and fully automated model.