Paper
21 June 2024 A method for motorized route planning based on geographic and geological elements
Guangrui Yu, Li Ma, Yang Liu, Zhenyang Lu, Jintao Song, Ye Jia, Shuqi Wang
Author Affiliations +
Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131671Q (2024) https://doi.org/10.1117/12.3029683
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China
Abstract
At present, the planning of mobile routes plays a prominent role in ensuring the transportation of outdoor vehicles. With the advancement of technology and market drive, users have put forward higher requirements for the timeliness and accuracy of route planning. In this paper, a method of maneuvering route planning based on geographic and geological elements is studied on the basis of full consideration of maneuvering safety and various influencing factors in order to enhance the mobility protection ability in complex and harsh environments, and reduce unnecessary time and manpower consumption. First of all, comprehensively analyze all kinds of geographical and geological elements, assign scores and evaluate the key elements affecting the mobile route planning, and determine the weight of single element; Then, the data structure model is established to quantify the geographical and geological elements involved, and complete a multifactor overlay analysis; Finally, based on the A* algorithm to complete the construction of the motorized route planning model, to achieve the optimal route planning from the starting point to the end point. The experiments shows that: the motorized route planning method fully considers the influence of geological elements on motorized access on the basis of the traditional consideration of geographic elements only, and the model is more scientific and reasonable. In the case of known vehicle parameters, the scientific planning of maneuvering routes can be quickly completed, which has high market application value.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Guangrui Yu, Li Ma, Yang Liu, Zhenyang Lu, Jintao Song, Ye Jia, and Shuqi Wang "A method for motorized route planning based on geographic and geological elements", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131671Q (21 June 2024); https://doi.org/10.1117/12.3029683
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KEYWORDS
Vegetation

Soil science

Data modeling

Transportation

Water

Superposition

Matrices

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