Scenic Route Planning of Online Rural Tourism platform Based on Scientific Computing Visualization Algorithm

Abstract

Scenic route planning involves designing travel paths that prioritize visually appealing landscapes, cultural landmarks, and natural beauty, rather than solely focusing on the shortest or fastest routes. This approach enhances the overall travel experience by integrating elements such as picturesque views, serene environments, and points of interest along the journey. This paper presented scenic route planning for online rural tourism platforms using the Weighted Whale Optimization Scenic Route Optimization (WWOSRO) algorithm. By segmenting and evaluating routes based on scenic attractiveness and travel time, the WWOSRO algorithm offers travelers a diverse range of options tailored to their preferences. Through extensive experimentation, we demonstrate the algorithm’s effectiveness in optimizing route selection, and balancing the allure of scenic landscapes with practical considerations. Integration of WWOSRO into online platforms enhances user engagement and satisfaction, providing immersive and personalized experiences. Through extensive experimentation, we showcase the algorithm’s effectiveness in optimizing route selection, achieving an average increase of 15% in scenic attractiveness scores compared to traditional methods. By segmenting and evaluating routes based on scenic attractiveness and travel time, the WWOSRO algorithm offers travelers a diverse range of options tailored to their preferences. Integration of WWOSRO into online platforms enhances user engagement and satisfaction, with user feedback indicating a 20% increase in overall satisfaction ratings. Additionally, the optimization-driven approach promotes sustainability in tourism by reducing average travel time by 10%, thus minimizing environmental impact. This study contributes to advancing user-centric tourism practices and underscores the potential of WWOSRO as a valuable tool for enhancing rural tourism experiences.