Research on optimization of tourism route in West Sichuan based on ant colony algorithm

Qizhi Yang; Haibo Zhang; Jing Tan; Xinmei Huang

doi:10.1117/12.2668862

16 February 2023 Research on optimization of tourism route in West Sichuan based on ant colony algorithm

Qizhi Yang, Haibo Zhang, Jing Tan, Xinmei Huang

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 1259133 (2023) https://doi.org/10.1117/12.2668862
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

In recent years, tourism in Western Sichuan has just started, coupled with the impact of its own geographical characteristics, the travel research to adapt to the plateau area is still blank. When tourists travel, because there are many scenic spots, the scenic spots that they visit most in a limited time need to plan the path in advance. The current navigation software can only optimize the path between single points, It cannot realize how to choose an optimal path between multiple scenic spots. In view of the above problems, this paper combines the symbolic method of geospatial data provided by AreGIS software, realizes the path optimization problem between multiple scenic spots through ant colony algorithm, and forms a new western Sichuan tourism destination with air travel as the main line and multiple traffic linkage; Ease the inconvenience caused by long and rugged mountain roads in Western Sichuan tourism and improve travel efficiency.

Citation Download Citation

Qizhi Yang, Haibo Zhang, Jing Tan, and Xinmei Huang "Research on optimization of tourism route in West Sichuan based on ant colony algorithm", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 1259133 (16 February 2023); https://doi.org/10.1117/12.2668862

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