Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights

Printer-friendly versionSend by email
Conference Proceedings (fully refereed)
15
9
2014
Schnitzler
François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos
We give an overview of an intelligent urban traffic management system. Complex events related to congestions are detected from heterogeneous sources involving fixed sensors mounted on intersections and mobile sensors mounted on public transport vehicles. To deal with data veracity, sensor disagreements are resolved by crowdsourcing. To deal with data sparsity, a traffic model offers information in areas with low sensor coverage. We apply the system to a real-world use-case.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
ECML/PKDD 2014
Conference Full Name: 
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Conference Country: 
FR:France
Conference City: 
Nancy
Conference Date(s): 
Mon, 15/09/2014 - Fri, 19/09/2014
Conference Level: 
International
Publisher: 
Springer Berlin Heidelberg
Publication Series: 
0302-9743
Volume: 
8726
Page Start: 
520
Page End: 
523
ISBN Code: 
978-3-662-44844-1 (print), 978-3-662-44845-8(online)

© 2018 - Institute of Informatics and Telecommunications | National Centre for Scientific Research "Demokritos"

Terms of Service and Privacy Policy