Dermot Kinane

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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(More)
Complex Event Processing (CEP) systems process large streams of data trying to detect events of interest. Traditional CEP systems, such as Esper, lack the required scalability and processing capability to cope with the constantly increasing amount of data that needs to be processed. Furthermore, user defined rules are static so changes in the monitored(More)
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