Reference:
A. Tarau,
B. De Schutter, and
H. Hellendoorn,
"Centralized versus decentralized route choice control in DCV-based
baggage handling systems," Proceedings of the 2009 IEEE
International Conference on Networking, Sensing and Control,
Okayama, Japan, pp. 334-339, Mar. 2009.
Abstract:
The process of handling baggage in an airport is time-critical.
Currently, the fastest way to transport the luggage is to use
destination coded vehicles (DCVs). These vehicles transport the bags
at high speed on a "mini" railway network. The route of each DCV has
to be computed in order to optimize the performance of the system. In
this paper we determine an event-based model of a DCV-based baggage
handling system and we compare centralized and decentralized control
methods for routing the DCVs through the network. The proposed
centralized control methods are optimal control and model predictive
control. Due to the large computational effort required, we also
analyze a fully decentralized control approach. In this case, each
junction has its own local controller for positioning the switch into
the junction or out of it. The considered control methods are compared
for several scenarios. Results indicate that optimal control becomes
intractable when a large stream of bags has to be handled, while MPC
can still be used to suboptimally solve the problem. On the other
hand, the decentralized control method usually gives worse results
than those obtained when using MPC, but with very low computation
time.