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arXiv 1610.04597cs.DS
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大地测量学在全局路径规划算法中的应用

Application of Global Route-Planning Algorithms with Geodesy

William C. da Rosa, Iury V. de Bessa, Lucas C. Cordeiro

摘要:

全球路径规划算法(GRPA)需要计算位于地球表面上的几个点之间的路径。采用测地线算法作为辅助工具,提高了距离计算的精度。这项工作提出了一种新的模拟器GRPA,比较和评估三个GRPA实现解决最短路径问题的点位于不同的城市:A*,LPA*,和D*Lite。每个算法的性能进行了调查,一组实验,这是执行检查算法提供的答案,并比较它们的执行时间。结果表明,GRPAs实现一致的算法,导致最佳路径。这些算法之间的显著差异与连续执行后的执行时间有关。

英文摘要:

Global Route-Planning Algorithms (GRPA) are required to compute paths between several points located on Earth's surface. A geodesic algorithm is employed as an auxiliary tool, increasing the precision of distance calculations. This work presents a novel simulator for GRPA, which compares and evaluates three GRPAs implemented to solve the shortest path problem for points located at different cities: A*, LPA*, and D*Lite. The performance of each algorithm is investigated with a set of experiments, which are executed to check the answers provided by the algorithms and to compare their execution time. It is shown that GRPAs implementations with consistent heuristics lead to optimal paths. The noticeable differences among those algorithms are related to the time execution after successive executions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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