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Self-drive travel is becoming increasingly popular. This paper constructs a self-drive travel route planning model based on temporal-spatial accessibility, focusing on the temporal-spatial demands of self-drive group tourism and considering the attributes of scenic spots. The model adopts an improved genetic algorithm, aiming at the optimal accessibility of time and space, and recommends the best travel route with the shortest travel distance according to the different time needs of self-driving tourists, and gives reasonable time arrangement suggestions accordingly. Combined with the analysis of tourism resources and the results of scenic spot accessibility measurement, the attractions of the G331 highway tourist corridor in Jilin Province are searched, and the model is used to recommend the self-driving tourist route with the best time and space accessibility.

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Self-driving Tour Route Planning Based on Time and Space Accessibility

  • 会议论文

  • 发表日期：

    2025年

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  • Longhai Yang,
  • Tingting Che,
  • Chengzhang Duan,
  • Xiqiao Zhang,
  • Shujing Wu

摘要

Self-drive travel is becoming increasingly popular. This paper constructs a self-drive travel route planning model based on temporal-spatial accessibility, focusing on the temporal-spatial demands of self-drive group tourism and considering the attributes of scenic spots. The model adopts an improved genetic algorithm, aiming at the optimal accessibility of time and space, and recommends the best travel route with the shortest travel distance according to the different time needs of self-driving tourists, and gives reasonable time arrangement suggestions accordingly. Combined with the analysis of tourism resources and the results of scenic spot accessibility measurement, the attractions of the G331 highway tourist corridor in Jilin Province are searched, and the model is used to recommend the self-driving tourist route with the best time and space accessibility.