Reference:
A.N. Tarau,
B. De Schutter, and
H. Hellendoorn,
"Model-based control for route choice in automated baggage handling
systems," IEEE Transactions on Systems, Man, and Cybernetics, Part
C: Applications and Reviews, vol. 40, no. 3, pp. 341-351, May
2010.
Abstract:
State-of-the-art baggage handling systems transport luggage in an
automated way using destination coded vehicles (DCVs). These vehicles
transport the bags at high speeds on a network of tracks. Currently,
the DCVs are routed through the system using routing schemes based on
preferred routes. These routing schemes respond to the occurrence of
predefined events. We do not consider such predefined preferred
routes. Instead we develop advanced control methods to determine the
optimal routing in case of dynamic demand. In order to optimize the
performance of the system we first develop and compare efficient
centralized, decentralized, and distributed predictive methods. Next,
to reduce the computational requirements, we also propose some
heuristic methods. Finally, to assess the performance of the proposed
control approaches, the methods are compared for several scenarios on
a benchmark case study.