MOBI-AID: A Big Data Platform for Real-Time Analysis of OnBoard Unit Data

Arnau Dillen, Giovanni Buroni, Yann-Aël Le Borgne, Karl Determe, Gianluca Bontempi

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

Abstract

Every day large amounts of goods are transported by heavy-goods vehicles over the road network. Being able to monitor and analyse heavy-goods vehicle traffic is essential to define policies able to minimize the impact of negative effects. However,this requires dealing with large amounts of data and often a dense road network, especially in an urban setting. This paper introduces a platform that makes use of state-of-the-art big data technologies to process data pertaining to the positions and properties of heavy-goods vehicles. This platform aims to provide policy-makers and other stakeholders with the tools that allow large-scale analysis of heavy-goods vehicle data in a near real-time fashion. Additionally, the platform allows for forecasting of future traffic conditions based on historical data
Original languageEnglish
Title of host publicationProceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference
Place of PublicationAachen
PublisherCEUR Workshop Proceedings
Number of pages8
Volume2578
Publication statusPublished - 30 Mar 2020
Event3rd International Workshop on "Big Mobility Data Analytics" - Copenhagen, Denmark
Duration: 30 Mar 2020 → …
http://www.datastories.org/bmda20/

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS.org
Volume2578
ISSN (Electronic)1613-0073

Workshop

Workshop3rd International Workshop on "Big Mobility Data Analytics"
Abbreviated titleBMDA 2020
CountryDenmark
CityCopenhagen
Period30/03/20 → …
Internet address

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