哪些十字路口适合行人使用?

Jean Favreau, Jérémy Kalsron
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引用次数: 2

摘要

摘要随着地理数据库(如OpenStreetMap)中可访问性和行人数据的增加,为行人用户找到许多应用程序成为可能。不同城市空间的交叉方式显然取决于它们的性质。特别是,穿过十字路口和沿着街道行走是不一样的。十字路口是特别复杂的区域,在那里穿越几乎是强制性的,通常有几个可能的路线。尽管文献中有各种各样的作品对在道路网络中定位这些十字路口感兴趣,但据我们所知,没有工作涉及行人使用规模下十字路口的精确分割。在本文中,我们提出了一种方法,通过精确识别十字路口和其他空间之间的边界,使我们能够在行人层面分割OpenStreetMap街道网络。结合OpenStreetMap的城市汽车网络的几何、拓扑和语义,提出了一种定位基本交叉口的算法,然后以多尺度的方式依次组装它们,从而获得行人在运动过程中所考虑的交叉口。特别是,我们的方法依赖于构成这些交叉路口边界的元素,例如人行横道和交通灯。在介绍了该方法的实现之后,我们提供了一些结果来说明所提出方法的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What are intersections for pedestrian users?
Abstract. The increase of accessibility and pedestrian data in geographic databases such as OpenStreetMap brings with it the possibility to find a number of applications for pedestrian users.The way in which different urban spaces are crossed obviously depends on their nature. In particular, crossing an intersection is not the same as walking along a street. Intersections are particularly complex areas, where crossing is almost mandatory, often with several possible routes.Although there are various works in the literature that are interested in locating these intersections in a road network, to our knowledge there is no work that deals with the precise segmentation of intersections at the scale of pedestrian use.In this article, we propose an approach that allows us to segment the OpenStreetMap street network at the pedestrian level, by precisely identifying the boundaries between intersections and other spaces.By combining the geometry, topology and semantics of the urban automobile network of OpenStreetMap, we propose an algorithm for locating elementary intersections, and then successively assembling them in a multi-scale approach, in order to obtain the intersections as they are considered by pedestrians during their movements. In particular, our approach relies on the elements that constitute the boundaries of these intersections, such as pedestrian crossings and traffic lights.After presenting an implementation of this approach, we offer a number of results that illustrate the robustness of the proposed approach.
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