基于OpenStreetMap的北京地图数据集

面向认知增强与决策推演的资源调度关键技术研究需求，论文中为模拟实际道路情况，使用该公开数据，该地图数据直接于开源地图OpenStreetMap（https://www.openstreetmap.org）项目获得。数据集主要包括北京城市道路与铁路路网、水体、建筑、土地利用等等。数据量约为59MB

To meet the research requirements of key technologies for resource scheduling in cognitive enhancement and decision deduction, this public dataset was used in the paper to simulate real road conditions. The map data was directly obtained from the open-source mapping project OpenStreetMap (https://www.openstreetmap.org). The dataset mainly includes urban road and railway networks, water bodies, buildings, land use types, etc., in Beijing, with a total data volume of approximately 59 MB.

搜集汇总

背景与挑战

背景概述

该数据集是基于OpenStreetMap的北京城市地图数据，包含道路、铁路、水体、建筑和土地利用等信息，数据量为58.93MB，适用于城市规划和网络研究等领域。