Exploiting Punctuation Semantics in Continuous Data Streams
IEEE Transactions on Knowledge and Data Engineering
Efficiently correlating complex events over live and archived data streams
Proceedings of the 5th ACM international conference on Distributed event-based system
Event detection over live and archived streams
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Real-time route planning with stream processing systems: a case study for the city of Lucerne
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoStreaming
Event processing and real-time monitoring over streaming traffic data
W2GIS'12 Proceedings of the 11th international conference on Web and Wireless Geographical Information Systems
Exploration of ground truth from raw GPS data
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Towards benchmarking stream data warehouses
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
Data management in a modern ITS: problems and solutions
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
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To address increasing traffic congestion and its associated consequences, traffic managers are turning to intelligent transportation management. The latte project is extending data stream technology to handle queries that combine live streams with large data archives, motivated by needs in the Intelligent Transportation Systems (ITS) domain. In particular, we focus on queries that combine live data streams with large data archives. We demonstrate such stream-archive queries via the travel-time estimation problem. The demonstration uses the new latte system which has been developed using the NiagaraST stream processing system and the PORTAL transportation data archive.