Emergent intelligence technique-based transport depot resource management in a metropolitan area

摘要: A metropolitan area experiences transport resource scarcities and dynamic allocation problems due to huge number of commuters’ population, arrival rates, etc. The progress these results into economic loss, traffic congestion, inefficient utilization resources increase in indefinite waiting time commuters. Hence, we propose a scheme. scheme efficiently manages vehicles over space using emergent intelligence (EI) technique. Based on the historical information, availability, deficit resources, surplus neighbor depots, etc., EI technique with agents is used for collecting, analyzing, sharing allocating optimal area. Analytical model technique-based developed Markov chain, derived closed-form expression resources. Performance evaluation carried out varying vehicles, requests neighborhood depots. We observe that obtained simulation analysis reflect effectiveness proposed