Nowadays museums and other cultural heritage sites provide more and more intelligent systems able to enhance humans experiences during visits in museums and archaeological sites. The complexity of these systems is growing up faster and faster. Distributed autonomous elements like sensors networks, intelligent devices etc. are now widely used in these sites. Especially in large museums and ruins, one of the most difficult task for visitors is the scheduling of their paths. In addition, several problems may occur which delay some visiting stops like the presence of great groups of visitors at the same picture or on the same path. Since for security reasons usually access to items and zones are limited to a given number of persons, this result in a delay on the whole visiting path that may even cause visitors to exit from a cultural site without completing its path. In this work we present a modelling methodology and a planning technique able to redirect visitors paths in case of problems. The model is based on multi-agent systems and the technique implements procedures that make possible the reaching of desired goals within temporal constraints.
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