Traffic organization by utilization of resources through grid computing concept

Recent progress in grid computing concept and its allied application technologies has helped us to device an efficient tool for heavy workload management. Concept of this middleware technology supports to build more and more complex application which can process large real time data set. Mobilization of under utilized resources among the needy processes can easily be carried out with distributed grid computing concept. In a real life scenario of a city, we have experienced traffic hazards as a daily phenomenon. There we often trail through to a well known regular path to avail our destination. This leads to an over utilization of the path, which can cause in serious congestion and delay. In our work we have considered the crisscross roads as resources, those cross sections as junctions and different kind of vehicles as processes. We have designed and simulated a method which has shown effective prospect in computing the real time congestion scenario between a source and destination pair. This mode of computing will help in efficient traffic management by directing the vehicles for some alternative well suited options of path to reach its destination more conveniently. Some effective decision makings in this regard have been performed depending upon the calculated congestion.