HiAccess:一种实时测量高分辨率空间可达性的并行方法

Mengyu Ma, Ye Wu, N. Guo, Luo Chen, Qi Gong, Jun Yu Li
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引用次数: 0

摘要

可达性是交通地理学、土地规划和许多其他相关领域的重要问题。当涉及高分辨率需求时,可访问性问题在计算上要求很高。使用传统方法,为实时决策支持提供高分辨率可访问性分析仍然是一个挑战。本文提出了一种并行方法HiAccess,用于实时解决高分辨率可达性分析问题。为了加速可达性分析,我们提出了一个扩展的路网结构。相应地,提出了一种快速路网构建方法,该方法只需遍历原始道路节点一次即可确定路网拓扑结构。通过理论分析和实验比较,对HiAccess的并行策略进行了充分优化。HiAccess在不进行预处理的情况下,在1秒内测量一个城市(总共超过250k个网格,232k个路段的道路,40个设施)的高分辨率(使用100 $\text{m}\ × 100\text{m}$网格)的可达性,表现出了惊人的性能,而ArcGIS则需要近1个小时才能达到令人不满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HiAccess: A Parallel Method for Measuring High-Resolution Spatial Accessibility in Real Time
Accessibility is an important issue in transport geography, land planning and many other related fields. Accessibility problems become computationally demanding when involving high-resolution requirements. Using conventional methods, providing high-resolution accessibility analysis for real time decision support remains a challenge. In this paper, we present a parallel method, named HiAccess, to solve the high-resolution accessibility analysis problems in real time. Pointing at accelerating accessibility analysis, we proposed an extended road network structure. Correspondingly, a fast road network construction method is proposed, in which the road network topology is determined by traversing the original road nodes only once. The parallel strategies of HiAccess are fully optimized through theoretical analysis and experimental comparisons. HiAccess demonstrates the striking performance of measuring high-resolution (using 100 $\text{m}\times 100\text{m}$ grids) accessibility of a city (in total over 250k grids, roads with 232k segments, 40 facilities) in 1 second without preprocessing, while ArcGIS takes nearly 1 hour to achieve a less satisfactory result.
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