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Automatic Guided Vehicle System (AGVS) has become the most
popular material handeling systems in automated manufactruring
system. An effective and efficient traffic controller is the
neural of AGVS but also is one of the most important features
to appply at the manufacturing system. The traffic control
should possess three basic characters.They are vehicle routine
planning, design and control methodology, and the avoidance of
collision, conflict, deadlock, and blocking. In this study,
Timed Colored Petri Net (TCPN) is employed to model the
traffic control node such that the material handling
schedule of AGVS is generated without introducing any traffic
problems. This research also provides the design of the
simulator and illustrates an example for the verificaton. Due
to the applications of the bi-directional routine, the
dynamic routing planning, and AGVS-oriented strategy, the
elegant performance is demonstrated. Meanwhile, this simulator
is able to encounter the stochastic transportation/material
handling requirement, rather than the deterministic condition.
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