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논문 기본 정보

자료유형
학술저널
저자정보
Guangjie Liu (Changchun Normal University) Jinlong Zhu (Changchun Normal University) Qiucheng Sun (Changchun Normal University) Jiaze Hu (Changchun Normal University) Hao Yu (Liaoning Planning and Designing Institute of Post and Telecommunication Co. Ltd.)
저널정보
한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제5호
발행연도
2021.10
수록면
879 - 891 (13page)
DOI
10.3745/JIPS.04.0222

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With improvements in living conditions, an increasing number of people are choosing to spend their time traveling. Comfortable tour routes are affected by the season, time, and other local factors. In this paper, the influencing factors and principles of scenic spots are analyzed, a model used to find the available routes is built, and a multi-route choice model based on a game theory utilizing a path recommendation weight is developed. A Monte Carlo analysis of a tourist route subjected to fixed access point conditions is applied to account for uncertainties such as the season, start time, end time, stay time, number of scenic spots, destination, and start point. We use the Dijkstra method to obtain multiple path plans and calculate the path evaluation score using the Monte Carlo method. Finally, according to the user preference in the input path, game theory generates path ordering for user choice. The proposed approach achieves a state-of-the-art performance at the pseudo-imperial palace. Compared with other methods, the proposed method can avoid congestion and reduce the time cost.

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