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On Constructing a Base Map for Collaborative Map Generation and its Application in Urban Mobility Planning

机译:构建协作地图生成的基础地图及其在城市移动性规划中的应用

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Urban mobility planning depends largely on the presence of good navigation data in the form of vectorized maps. Unfortunately, vector maps are not always available for many areas - especially for many of the third world countries. On the other hand, good paper maps collected by the city authorities are widely available. A solution is the collaborative map generation process that allows people to share the collected GPS traces. Nevertheless, the integration of these GPS traces is itself a challenge and requires a good base map. This paper presents a method to extract calibrated road topology from raster maps to provide such a base map for collaborative map generation process. Our approach takes a bitmap and uses different graphics filters to infer the road geometry. We propose an aggregation algorithm that extracts the actual vectorized road fragments and construct a graph of road network. To evaluate the proposed algorithms, we have implemented them and tested on real raster maps collected from the city authorities of Dortmund, Germany. We also report the integration of our approach into SUMO, a state-of-the-art traffic simulation tool for urban mobility.
机译:城市移动计划主要取决于以矢量化地图的形式存在良好的导航数据。不幸的是,许多领域并不总是可用的矢量地图 - 特别是对于许多第三世界国家。另一方面,城市当局收集的良好纸张地图是广泛的。解决方案是协同地图生成过程,允许人们共享收集的GPS迹线。然而,这些GPS迹线的集成本身是一个挑战,需要一个良好的基础地图。本文提出了一种从栅格地图中提取校准道路拓扑的方法,以提供用于协作地图生成过程的基本地图。我们的方法采用位图并使用不同的图形过滤器来推断道路几何。我们提出了一种聚合算法,提取实际的矢量化路碎片并构建道路网络的图。为了评估所提出的算法,我们已经实施了它们并在从德国多特蒙德市政府收集的真正的光栅地图上进行了测试。我们还报告了我们对城市移动性最先进的交通仿真工具的融入我们的方法。

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