Research on Smart Tourism Route Planning Based on Ant Colony Algorithm

With the advent of the era of big data, smart technology products are gradually appearing in people's lives, such as smart homes, smart communities, smart pensions, smart properties, smart scenic spots, etc., which have greatly changed the outlook of people's production and life. In the development of smart tourism, the issue of tourism route planning has become the focus of attention of travel enthusiasts. Different from traditional tourism route planning, in order to improve the rationality of smart tourism route planning, a suitable algorithm model should be selected to save cost and time to the greatest extent. As a result, this paper constructs an ant colony algorithm model, which comprehensively considers the time and expense spent by tourists to travel, and selects actual cases to solve the route planning problem to solve the smart tourism route planning problem.