Smart Tourism Route Planning System Based on Machine Learning Algorithm

With the development of economy and the improvement of life quality, people have a deeper pursuit. Therefore, tourism has developed into one of the pillar industries of China's economy. Tourism has gradually become an important part of people's life and entertainment, but people's tourism consumption behavior has undergone significant changes, and they have a higher standard for tourism quality, which is the background of the birth of the concept of smart tourism. This paper analyzes the current situation and existing problems of tourism market route planning, and constructs an intelligent tourism route planning system based on machine learning algorithm to meet the diversified needs of tourists and promote the high-quality development of tourism Through the analysis of the tourism situation of a province from 2016 to 2020, the response time of the system was tested after the intelligent tourism route planning system was put into use. It was found that the response time of the system would increase 0.0005 seconds for every 100000 additional passengers. The increase of people flow will lead to system interface congestion, but the time is very short and can be basically ignored. The research shows that the design of the system can still bring convenience to passengers.