Study on the Characteristics of Special Cultural Tourism Securing and Enhancing Operations Based on Big Data

After entering the new century, the country’s requirements for environmental protection are increasingly stringent. Many provinces with weak industrial bases regard tourism as an important industry for economic development and make great efforts to support and promote it. In order to adapt to the changes in the demand of the tourism industry under the internet, this paper is based on the research of the characteristics of cultural tourism planning strategies under the background of big data. After analyzing the advantages of the traditional ant colony algorithm in the design of tourism routes, in order to improve the rationality of the planning of travel routes, an optimized ant colony algorithm model is established to solve the characteristic tourism planning routes, making route planning more scientific and efficient. The final simulation experiment proves that the improvement of the ant colony algorithm in this study can effectively improve the effectiveness of the route planning and formulate special tourist routes that are more popular with tourists.