Status-based routing in baggage handling systems: searching verses learning

Authors:
Michael Johnstone;Doug Creighton;Saeid Nahavandi
Affiliations:
Center for Intelligent System Research, Deakin University, Waurn Ponds, Vic., Australia;Center for Intelligent System Research, Deakin University, Waurn Ponds, Vic., Australia;Center for Intelligent System Research, Deakin University, Waurn Ponds, Vic., Australia
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Year:
2010

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Abstract

This study contributes to work in baggage handling system (BHS) control, specifically dynamic bag routing. Although studies in BHS agent-based control have examined the need for intelligent control, but there has not been an effort to explore the dynamic routing problem. As such, this study provides additional insight into how agents can learn to route in a BHS. This study describes a BHS status-based routing algorithm that applies learning methods to select criteria based on routing decisions. Although numerous studies have identified the need for dynamic routing, little analytic attention has been paid to intelligent agents for learning routing tables rather than manual creation of routing rules. We address this issue by demonstrating the ability of agents to learn how to route based on bag status, a robust method that is able to function in a variety of different BHS designs.