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2010
ACM

Spatiotemporal summarization of traffic data streams

10 years 17 days ago
Spatiotemporal summarization of traffic data streams
With resource-efficient summarization and accurate reconstruction of the historic traffic sensor data, one can effectively manage and optimize transportation systems (e.g., road networks) to become smarter (better mobility, less congestion, less travel time, and less travel cost) and greener (less waste of fuel and less greenhouse gas production). The existing data summarization (and archival) techniques are generic and are not designed to leverage the unique characteristics of the traffic data for effective data reduction. In this paper, we propose and explore a family of data summaries that take advantage of the high temporal and spatial redundancy/correlation among sensor readings from individual sensors and sensor groups, respectively, for effective data reduction. In particular, with these summaries we derive and maintain a "signature" as well as a series of "outliers" for the readings received from each individual sensor or group of co-located sensors. While ...
Bei Pan, Ugur Demiryurek, Farnoush Banaei Kashani,
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where GIS
Authors Bei Pan, Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Shahabi
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