Self-adaptive event recognition for intelligent transport management | IEEE Conference Publication | IEEE Xplore

Self-adaptive event recognition for intelligent transport management


Abstract:

Intelligent transport management involves the use of voluminous amounts of uncertain sensor data to identify and effectively manage issues of congestion and quality of se...Show More

Abstract:

Intelligent transport management involves the use of voluminous amounts of uncertain sensor data to identify and effectively manage issues of congestion and quality of service. In particular, urban traffic has been in the eye of the storm for many years now and gathers increasing interest as cities become bigger, crowded, and “smart”. In this work we tackle the issue of uncertainty in transportation systems stream reporting. The variety of existing data sources opens new opportunities for testing the validity of sensor reports and self-adapting the recognition of complex events as a result. We report on the use of a logic-based event reasoning tool to identify regions of uncertainty within a stream and demonstrate our method with a real-world use-case from the city of Dublin. Our empirical analysis shows the feasibility of the approach when dealing with voluminous and highly uncertain streams.
Date of Conference: 06-09 October 2013
Date Added to IEEE Xplore: 23 December 2013
Electronic ISBN:978-1-4799-1293-3
Conference Location: Silicon Valley, CA, USA

References

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