A strategic behavioral-based intelligent transport system with artificial immune system

This paper presents a distributed control framework based on human immunity to manage, coordinate and schedule a fleet of agents employed in an automated transport system. Through the study of immunology, each agent is abstracted as an independent agent operating in a multi-agent system that carries local information, searches for solution space and exhibits robust behavior to accomplish tasks. The internal behaviors of the AIS agents, which are decided by their perception of the environment, are studied to describe their strategies in performing various operations. Simulations are presented to examine the significance of each behavioral state in every necessary action or step and the impacts of these states on the overall performance of the transport system. The results of the simulations illustrate the importance of each behavioral state and their inter-relationship in establishing a truly decentralized and non-deterministic transport system.