RASED: A Scalable Dashboard for Monitoring Road Network Updates in OSM

被引:2
作者
Musleh, Mashaal [1 ]
Mokbel, Mohamed F. [1 ]
机构
[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
来源
2022 23RD IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2022) | 2022年
基金
美国国家科学基金会;
关键词
D O I
10.1109/MDM55031.2022.00050
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Understanding the evolution and changes of digital road networks and how it resembles the true physical road network, have been a rich area of study within map analyzers, urban planners, and transportation communities. The main focus was to study OpenStreetMap (OSM) as the most commonly used platform for worldwide digital road networks, and is deemed even more accurate than commercial maps. However, all such studies have been localized to small areas of interest, mainly due to the large scale of the whole OSM road network. This paper presents RASED; a publicly available scalable dashboard to interactively monitor and analyze the evolution of all OSM road network. Using RASED, map analyzers can query and visualize various statistics about the road network daily changes worldwide, which would give a better understanding of the status of map quality and stability anywhere in the world. RASED relies on daily and monthly offline precomputations, accessed via a hierarchical temporal index structure. Experimental results show that RASED queries are always supported in the order of milliseconds, regardless of how large is the query temporal window, which allows highly interactive map analysis.
引用
收藏
页码:214 / 221
页数:8
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