基于GIS的现场路由规划与优化算法研究

Shen Kuo, Ran Jinzhi, Yang Dewei, Zhou Xingfu, Liu Shiyuan
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引用次数: 0

摘要

本文提出了基于GIS的A*优化算法,解决了现场条件下路线规划缺乏科学的方法和手段,计算效率低等问题。首先,通过GIS相关软件提取水源、路网和高程信息,存储在栅格层中,并绘制环境模型,节省地图存储空间。然后结合环境模型的开放条件计算运动速度和约束约束,并将其作为自适应因子引入A*算法的代价函数中;然后,通过步长交叉机制和双向搜索策略,提高了算法的效率,降低了算法的空间和时间成本。最后利用软件实现了算法流程的规范化和算法结果的可视化,有效地证明了算法的可行性和实际应用现状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Field Routing Planning and Optimization Algorithm Based on GIS
In this paper, A* optimization algorithm based on GIS is proposed to solve the problems of the lack of scientific methods and means in routing planning under the field conditions and the low computational efficiency. Firstly, this paper extracted the information of water source, road network and elevation through GIS related software, stored it in raster layer and mapped the environment model to save the storage space of the map. Then, the moving speed and constraint constraints were calculated by combining the opening conditions of the environmental model, which were introduced into the cost function of A* algorithm as an adaptive factor. Then, the efficiency of the algorithm was improved and the space and time costs were reduced through the step size crossing mechanism and the two-way search strategy.Finally, software is used to standardize the algorithm flow and visualize the algorithm results, which effectively proves the feasibility and practical application of the algorithm Status.
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