Characterization of tourist routes and route planning
Huankai Cai, Xiaolong Chai · 2024
Along with the development of "Internet + Tourism", people travel in a more convenient way, and can plan a complete travel guide without leaving home. People's choice of where to travel includes not only an examination of factors such as the length of the road and the mode of transportation, but also all aspects of the place they are traveling to as well as their personal preferences. Therefore, in this paper, we first propose to construct a route topology and a decision tree model to better select travel locations, and finally construct a label propagation algorithm on the shortest costly route by semi-supervised learning. Improving the efficiency and personalization of travel choices by taking multiple factors into account makes travel more enjoyable and tailored to individual needs.