naa a22 4500 510796818 CHVBK 20180411083339.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11277-013-1196-7 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1196-7 Using Cellular Automata to Reduce Congestion for Tourist Navigation Systems in Mobile Environments [Elektronische Daten] [Sheng-Tzong Cheng, Yin-Jun Chen, Gwo-Jiun Horng, Chi-Hsuan Wang] 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. Springer Science+Business Media New York, 2013 Congestion nationallicence Tourist navigation nationallicence Adaptive recommendation nationallicence Distributed groups nationallicence Cellular automata (CA) nationallicence Cheng Sheng-Tzong Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut Chen Yin-Jun Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut Horng Gwo-Jiun Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut Wang Chi-Hsuan Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 441-461 0929-6212 73:3<441 2013 73 11277 https://doi.org/10.1007/s11277-013-1196-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1196-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cheng Sheng-Tzong Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut NATIONALLICENCE 700 1- Chen Yin-Jun Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut NATIONALLICENCE 700 1- Horng Gwo-Jiun Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut NATIONALLICENCE 700 1- Wang Chi-Hsuan Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 441-461 0929-6212 73:3<441 2013 73 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer