Submission to EDBT’14 accepted!

Our joint paper to theĀ International Conference on Extending Database Technology (EDBT) got accepted in the industrial track. It presents our first prototype of the European INSIGHT project.

Abstract

Urban traffic gathers increasing interest as cities become bigger, crowded and “smart”. We present a system for heterogeneous stream processing and crowdsourcing supporting intelligent urban traffic management. Complex events related to traffic congestion (trends) are detected from heterogeneous sources involving fixed sensors mounted on intersections and mobile sensors mounted on public transport vehicles. To deal with data veracity, a crowdsourcing component handles and resolves sensor disagreement. Furthermore, to deal with data sparsity, a traffic modelling component offers information in areas with low sensor coverage. We demonstrate the system with a real-world use-case from Dublin city, Ireland.

  • A. Artikis, M. Weidlich, F. Schnitzler, I. Boutsis, T. Liebig, N. Piatkowski, C. Bockermann, K. Morik, V. Kalogeraki, J. Marecek, A. Gal, S. Mannor, D. Gunopulos, and D. Kinane, “Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management,” in Proc. 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014, 2014, pp. 712-723.
    [Bibtex] [[PDF] Draft]
    @inproceedings{artikis2014,
    author = {Alexander Artikis and Matthias Weidlich and Fran\c{c}ois Schnitzler and Ioannis Boutsis and Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik and Vana Kalogeraki and Jakub Marecek and Avigdor Gal and Shie Mannor and Dimitrios Gunopulos and Dermot Kinane},
    title = {Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management},
    booktitle = {Proc. 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014},
    year = {2014},
    pages = {712--723},
    publisher = {OpenProceedings.org},
    }