Tourist guide route planning based on ant colony algorithm
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DOI: 10.25236/dpaic.2018.048
Corresponding Author
Tong Wu
Abstract
Tourism has become a fashionable leisure way. Choosing the right travel route can not only save traffic time, improve traffic quality, but also save transportation cost. Dynamic planning of routes can achieve load balancing of tourist attractions and guide tourists to the current small tourist attractions, which can make more reasonable and full use of tourism resources. The purpose of this paper is to solve the routing planning problem based on ant colony algorithm. Experimental results show that ant colony algorithm has high reliability and operability in optimal path solution and dynamic path planning.
Keywords
Tourist guide, Route Planning, Ant Colony Algorithm