• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 57 Issue 6
Dec.  2022
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Article Contents
QIN Jian, ZHANG Feikai, LI Qiying, LIU Chen. Automatic Path Planning Method Based on Terrain Adaptation for Freight Cableways[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1303-1310. doi: 10.3969/j.issn.0258-2724.20210105
Citation: QIN Jian, ZHANG Feikai, LI Qiying, LIU Chen. Automatic Path Planning Method Based on Terrain Adaptation for Freight Cableways[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1303-1310. doi: 10.3969/j.issn.0258-2724.20210105

Automatic Path Planning Method Based on Terrain Adaptation for Freight Cableways

doi: 10.3969/j.issn.0258-2724.20210105
  • Received Date: 04 Feb 2021
  • Rev Recd Date: 01 Jul 2021
  • Available Online: 23 Aug 2022
  • Publish Date: 06 Sep 2021
  • To reduce the time and economic costs of freight cableway path planning, according to factors such as geographical information, project requirements, and costs of cableway erection and operation, the requirements of cableway path planning are proposed, and the technical process of automatic path planning is developed. To meet the requirements of cableway erection, an automatic method for screening loading and unloading points based on clustering was presented to achieve the avoidance of cableway to highway, and by the use of three-dimensional terrain data, a search method for trestle positions based on terrain adaptation is proposed. The selected trestle positions can ensure that the distance between the bearing cable of the cableway and the ground meets the construction requirements, and in this way the number of trestles is optimized to reduce the cost of the cableway. The field applications of the proposed method demonstrate that it can provide thousands of cableway paths and trestle positions automatically in around half an hour, showing fast planning and comprehensive data analysis.

     

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