动态时变路网中基于alt的路径规划

Famei He, Yin Xu, Xuren Wang, Anran Feng
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引用次数: 2

摘要

为了解决时变路网(TDRN)的路径规划问题,提出了一种基于路标导向技术和短路径树(SPT)的动态A*路标三角形算法(ALT)。主要贡献有三个:(1)在预处理阶段构造最短路径树,计算地标与其他节点之间的距离;(2)在点对点启发式路径规划过程中,利用动态最短路径树对查询进行优化;(3)当网络的边权发生变化时,动态更新最短路径树,并利用最短路径树的结构特征减少冗余计算。实验结果表明,DALT算法不仅在点对点最短路径问题上优于ALT实现,平均查询时间减少了51.71%,而且与以前的动态更新算法相比,更新最短路径树的计算成本更低,增量的平均更新时间减少了9.90%,修改量更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ALT-Based Route Planning in Dynamic Time-Dependent Road Networks
In order to solve the path planning problem of time-dependent road network(TDRN), an dynamic A* landmarks triangle algorithm(ALT) is proposed based on landmark-oriented technique and short-path tree(SPT). There are three main contributions: (1) constructing the shortest path tree in the preprocessing stage and calculating the distance between the landmark and other nodes; (2) using the dynamic shortest path tree to optimize the query in the point-to-point heuristic path planning process; (3) When the edge weight of the network changes, the shortest path tree is dynamically updated, and the structural characteristics of the tree are used to reduce the redundancy calculation. Experimental results indicate that the DALT algorithm not only outperforms the ALT implementation in point-to-point shortest path problem as the average query time is reduced by up to 51.71%, but also computes economically for updating shortest path tree compared with previous dynamic update algorithm as the average update times for increments are reduced by up to 9.90% with less modifications.
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