Multi-agent collaborative planning in smart environments
Document typeConference report
Rights accessRestricted access - publisher's policy
Nowadays Smart systems have become commonplace in our lives: domotics, social networks, automotive, smart application, virtual reality are having each time more and more users. One recent example of smart spaces can be found in domains like cultural heritages sites, museums or libraries where the use of new technologies grows up fast, namely, distributed sensors networks, virtual reality and smart systems are now being widely used to aid in preserving archaeological findings and sites as well as to enhancing presentation of cultural heritage assets. This work focuses on a problem that face the visitors at all large museums and ruins: the problem of scheduling tours depending on users preferences and on the time they can reserve for their visit. In particular, in museums and sites with a large number of visitors, the problem of queues to access to particular areas is also well-known. Sometimes waiting times are so high that visitors are not able to end their tours in time. In this work we present a modeling methodology and a planning technique able to redirect visitors tours in order to optimize their experiences within the desired available time. In addition, the system is able to face security and safety problems, providing a mean to redirect users to safe areas in case of emergency problems.
CitationAmato, F., Mazzocca, N., Moscato, F., Xhafa, F. Multi-agent collaborative planning in smart environments. A: International Conference on Intelligent Networking and Collaborative Systems. "Advances in Intelligent Networking and Collaborative Systems. The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017)". Toronto: Springer, 2017, p. 250-261.