The Investigation of Advancements in Intelligent Tourism Route Planning Based on Path Generation Algorithms

Shiyi Li, Yan Yan

2024

Abstract

Due to individual differences in preferences and travel costs, it is challenging to provide accurate travel route planning to allow users to obtain personalized travel route recommendations. In this article, we analyze in detail the four commonly used path generation methods in the past, namely exact algorithm, heuristic algorithm, collaborative filtering algorithm and genetic algorithm, and analyze the ideas and specific implementation of these algorithms. We then discuss the practical application of tourism route planning, The A* algorithm and genetic algorithm, which are heuristic algorithms, are widely used in navigation application design, travel planning, and other path planning problems. The collaborative filtering algorithm is used to implement personalized route recommendations based on user preferences. Finally, we come to the conclusion, this study can sort out and integrate the research results in the field of tourism route planning, helping researchers understand the development status and trends of current research. With the development of technologies such as artificial intelligence and data mining, future travel route planning may become increasingly intelligent, capable of making personalized recommendations based on tourists' preferences, real-time traffic and other factors.

Paper Citation

in Harvard Style

Li S. and Yan Y. (2024). The Investigation of Advancements in Intelligent Tourism Route Planning Based on Path Generation Algorithms. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 485-489. DOI: 10.5220/0012956700004508

in Bibtex Style

@conference{emiti24,
author={Shiyi Li and Yan Yan},
title={The Investigation of Advancements in Intelligent Tourism Route Planning Based on Path Generation Algorithms},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={485-489},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012956700004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - The Investigation of Advancements in Intelligent Tourism Route Planning Based on Path Generation Algorithms
SN - 978-989-758-713-9
AU - Li S.
AU - Yan Y.
PY - 2024
SP - 485
EP - 489
DO - 10.5220/0012956700004508
PB - SciTePress