A hybrid indoor navigation system
Proceedings of the 6th international conference on Intelligent user interfaces
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Providing group tour guide by RFIDs and wireless sensor networks
IEEE Transactions on Wireless Communications
Distributed visitors coordination system in theme park problem
MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Hi-index | 0.00 |
Tourist navigation systems have become an important area of research because they help people increase the quality of their travel. This work proposes an adaptive recommendation mechanism that relies on a congestion-aware scheduling method for multiple groups of travelers on multi-destination trips. The recommendation scheme uses the cell (number of groups) mechanism of the cellular automata model for group system distribution. To reduce congestion while visiting multiple destinations, we present a tour group with adaptive recommendations from a system to yield a high quality tour experience. When faced with congestion, the system proposes a path by which the group visits a secondary destination first and then visits the primary destination. Simulation results reveal the strengths of the proposed "adaptive recommendation mechanism" model in terms of decreasing the average wait time, congestion, and the ratio of congestion avoidance to the number of groups.