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INSIGHT: Dynamic traffic management using heterogeneous urban data

 
: Panagiotou, N.; Zygouras, N.; Katakis, I.; Gunopulos, D.; Zacheilas, N.; Boutsis, I.; Kalogeraki, V.; Lynch, S.; O'Brien, B.; Kinane, D.; Mareček, J.; Yu, J.Y.; Verago, R.; Daly, E.; Piatkowski, N.; Liebig, T.; Bockermann, C.; Morik, K.; Schnitzler, F.; Weidlich, M.; Gal, A.; Mannor, S.; Stange, H.; Halft, W.; Andrienko, G.

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Frasconi, P.:
Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2016. Pt.3 : Riva del Garda, Italy, September 19-23, 2016; Proceedings
Cham: Springer International Publishing, 2016 (Lecture Notes in Computer Science 9853)
ISBN: 978-3-319-46130-4 (Print)
ISBN: 978-3-319-46131-1 (Online)
S.22-26
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) <15, 2016, Riva del Garda>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()

Abstract
In this demo we present INSIGHT, a system that provides traffic event detection in Dublin by exploiting Big Data and Crowdsourcing techniques. Our system is able to process and analyze input from multiple heterogeneous urban data sources.

: http://publica.fraunhofer.de/dokumente/N-422630.html