Analysis and Study on Intelligent Tourism Route Planning Scheme Based on Weighted Mining Algorithm

Abstract

In order to study the intelligent tourism route planning scheme based on a weighted mining algorithm, firstly, a traveling salesman problem based on an improved weighted mining algorithm is proposed. Then, based on the traveling salesman problem, the constraints of travel time and driving time are added, and the mathematical model aiming at the minimum number of travel days is established. The improved weighted mining algorithm is used to solve the model: firstly, the scenic spots are divided into regions according to provinces and solved; then, the regions of some scenic spots are modified and solved again according to the solution results, and the specific itinerary is given; finally, based on the route planning problem and considering a variety of transportation modes, a double objective mathematical model with the optimal tourism cost and the best tourism experience is established. When solving, the double objective is reasonably transformed into a single objective, the model is solved by comprehensively considering the tourism cost and tourism experience, and the specific schedule is given according to the solution results.

The Transformation of Intelligent Tourism Planning through the "Zibo Barbecue" Craze

“…Another significant advantage of intelligent tourism planning is its real-time accuracy. [2] In traditional travel planning, tourists often rely on static information and pre-planned itineraries. However, with the development of intelligent technology, modern travel planning systems can provide travelers with timely and accurate travel advice and information through real-time data updates and intelligent algorithm analysis, making their travel experience smoother and more efficient.…”

“…Real-time responsiveness is an important characteristic of intelligent tourism planning. [2] By integrating various data sources such as weather information, traffic conditions, and tourist traffic at attractions, intelligent systems can promptly update and adjust travelers' itineraries to help them cope with unexpected situations or changes, ensuring a seamless travel process. For example, if a certain attraction suddenly closes or there is heavy traffic, the intelligent system can promptly alert travelers and provide alternative plans, avoiding unnecessary inconvenience and delays, thereby safeguarding the quality of their travel experience.…”