Reference:
A.N. Tarau,
B. De Schutter, and
J. Hellendoorn,
"Decentralized route choice control of automated baggage handling
systems," Proceedings of the 12th IFAC Symposium on Transportation
Systems, Redondo Beach, California, pp. 70-75, Sept. 2009.
Abstract:
Modern baggage handling processes in airports use destination coded
vehicles (DCVs) to transport the luggage at high speeds. These
vehicles transport the bags on a "mini" railway network. In order
optimize the performance of a DCV-based baggage handling system, the
route of each DCV has to be determined. In this paper we consider an
event-based model of this system. For routing the DCVs through the
network we propose decentralized control methods that independently
compute local control actions viz. decentralized model predictive
control (MPC) and decentralized heuristic approaches. The considered
control methods are compared for several scenarios. Results indicate
that decentralized MPC can be used to suboptimally solve the problem.
Moreover, the decentralized heuristic approaches usually give worse
results than those obtained when using decentralized MPC, but on the
other hand they require very low computation time.
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