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

Main Article Content

Wenyue Hu*

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.

Article Details

Section
Articles

References

Lou, N. (2022). Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm. Computational Intelligence and Neuroscience, 2022.

Xiao, H. (2022). Scenic tourist route planning algorithm based on mobile computing and grey entropy decision model. Wireless Communications and Mobile Computing, 2022.

Qin, Z., & Pan, Y. (2023). Design of A Smart Tourism Management System through Multisource Data Visualization-Based Knowledge Discovery. Electronics, 12(3), 642.

Zhang, Z., & Zhang, M. (2023). SVM-based rural leisure sports tourism route design method. Pakistan Journal of Agricultural Sciences, 60(3).

Zhang, B., Zhang, J., & Xu, Q. (2024). Design of rural tourism management cloud platform based on intelligent audio processing and sensor navigation positioning. Measurement: Sensors, 33, 101101.

Xu, A., & Zeng, W. (2022). Dynamic Optimization Modeling of Smart Tourism Information System Using VRGIS in Big Data Environment. Computational Intelligence and Neuroscience, 2022.

Jin, L. (2022, March). Design and Implementation of Big Data Analysis Platform for Rural Tourism Planning Based on ENVI and CUDA. In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 832-835). IEEE.

Jiang, G., Gao, W., Xu, M., Tong, M., & Liu, Z. (2023). Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence. Sustainability, 15(4), 3846.

WenFen Liu, Yijun Guo, & Jian Li. (2023). 5G Resource Allocation between Channels with Non-Linear Analysis to Construct Urban Smart Information Communication Technology (ICT). Journal of Computer Allied Intelligence, 1(1), 54-65.

Yang, L., & Dong, X. (2022). Research on the Development Model of Rural Tourism Based on Multiobjective Planning and Intelligent Optimization Algorithm. Journal of Advanced Transportation, 2022.

Wang, M., & Wang, J. (2023). Uncertainty models in the integration path of rural tourism information construction and smart tourism based on big data technology. Optik, 272, 170320.

P. Brundavani, & Y. Avanija. (2024). Robot Path Planning and Tracking with the Flower Pollination SearchOptimization Algorithm. Journal of Computer Allied Intelligence, 2(4), 70-81.

Wu, X., & Huang, J. (2023). Construction of a rural tourism information service management system for multi-source heterogeneous data processing. PeerJ Computer Science, 9, e1334.

Yang, H., & Ren, X. (2024). Design and Development of a Rural Tourism Marketing System Using Deep Learning. IEEE Access.

Venkateswarlu Chandu, Nkosingiphile Kunene, Sarah Motika, Peace Andrew John, & Regina Banda. (2024). Automated Pattern Estimation For Classification Of Consumer Perception On Green Banking. Journal of Computer Allied Intelligence, 2(6), 79-93.

Srinivasa Sai Abhijit Challapalli. (2024). Optimizing Dallas-Fort Worth Bus Transportation System Using Any Logic. Journal of Sensors, IoT & Health Sciences, 2(4), 40-55.

Qin, L., Chen, S., Huang, J., & Lin, H. (2022). Statistical System of Cultural Heritage Tourism Information Based on Image Feature Extraction Technology. Mathematical Problems in Engineering, 2022.

Maquera, G., da Costa, B. B., Mendoza, Ó., Salinas, R. A., & Haddad, A. N. (2022). Intelligent digital platform for community-based rural tourism—a novel concept development in Peru. Sustainability, 14(13), 7907.

Srinivasa Sai Abhijit Challapalli. (2024). Sentiment Analysis of the Twitter Dataset for the Prediction of Sentiments. Journal of Sensors, IoT & Health Sciences, 2(4), 1-15.

Liao, Y. H., Chang, P. C., & Li, H. H. (2023). Hybrid Integrated Computing Algorithm for Sustainable Tourism. Sustainability, 15(23), 16141.

Liang, K., Liu, H., Shan, M., Zhao, J., Li, X., & Zhou, L. (2024). Enhancing scenic recommendation and tour route personalization in tourism using UGC text mining. Applied Intelligence, 54(1), 1063-1098.

Gungor, S., Sucu, F., Dinc, Y., Cetin, M., & Deniz Adiguzel, A. (2024). GIS based daily tourism route proposal for surrounding provinces and districts from Ankara’s Çankaya district (Turkey). Environment, Development and Sustainability, 1-26.

Li, H., & Su, T. (2022). SM-PageRank algorithm-based user interest model for mobile smart tourism platform. Wireless Communications and Mobile Computing, 2022, 1-12.