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

被引：0
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 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022) | 2022年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/ICDE53745.2022.00284
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Road network queries (e.g., shortest path, range, and k-NN) hinge on the road network quality, which, unfortunately, suffer from all sorts of inaccuracy. Given that OpenStreetMap (OSM) has been the de facto open-source map for a myriad of widely used applications, this demo presents RASED; a publicly available scalable dashboard to interactively monitor and analyze billions of OSM updates worldwide. RASED provides the necessary infrastructure that is immensely needed by map analyzers to understand and assess the map quality for anywhere in the world, which is a measure of the query accuracy.
引用
收藏
页码：3146 / 3149
页数：4
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