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

Mashaal Musleh, Mohamed F. Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Road network queries (e.g., shortest path, range, and k-NN) hinge on the road network quality, which, un-fortunately, 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.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022
PublisherIEEE Computer Society
Pages3146-3149
Number of pages4
ISBN (Electronic)9781665408837
DOIs
StatePublished - 2022
Event38th IEEE International Conference on Data Engineering, ICDE 2022 - Virtual, Online, Malaysia
Duration: May 9 2022May 12 2022

Publication series

NameProceedings - International Conference on Data Engineering
Volume2022-May
ISSN (Print)1084-4627

Conference

Conference38th IEEE International Conference on Data Engineering, ICDE 2022
Country/TerritoryMalaysia
CityVirtual, Online
Period5/9/225/12/22

Bibliographical note

Funding Information:
This work is supported by the National Science Foundation, USA, under Grant IIS-1907855.

Publisher Copyright:
© 2022 IEEE.

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