The Community for Technology Leaders
SC Conference (2005)
Seattle, WA
Nov. 12, 2005 to Nov. 18, 2005
ISBN: 1-59593-061-2
pp: 69
Robert Grossman , National Center for Data Minin, University of Illinois at Chicago
Michal Sabala , National Center for Data Minin, University of Illinois at Chicago
Anushka Aanand , National Center for Data Mining, University of Illinois at Chicago
Steve Eick , National Center for Data Mining, University of Illinois at Chicago
Leland Wilkinson , National Center for Data Mining, University of Illinois at Chicago
Pei Zhang , National Center for Data Mining, University of Illinois at Chicago
John Chaves , Open Data Research
Steve Vejcik , Open Data Research
John Dillenburg , Department of Computer Science, University of Illinois at Chicago
Peter Nelson , Department of Computer Science, University of Illinois at Chicago
Doug Rorem , Department of Computer Science, University of Illinois at Chicago
Javid Alimohideen , Electronic Visualization Laboratory, University of Illinois at Chicago
Jason Leigh , Electronic Visualization Laboratory, University of Illinois at Chicago
Mike Papka , Argonne National Laboratory
Rick Stevens , Argonne National Laboratory
ABSTRACT
We developed a testbed containing: real time data from over 830 highway traffic sensors in the Chicago region, data about weather, and text data about events that might affect traffic. The goal was to detect in real time interesting changes in traffic conditions. Given the size and complexity of the data, we choose to build a large number of separate baseline models. We built a separate baseline for each hour in the day, for each day in the week, and for every 2 or 3 traffic sensors, resulting in over 42,000 separate baseline models. We also built a baseline engine to build the necessary baselines automatically. We modified an open source scoring engine to process in real time each new sensor reading, update the appropriate feature vectors, score the updated feature vectors using the baseline models, and send out real time alerts when deviations from the baselines were detected.
INDEX TERMS
CITATION

M. Papka et al., "Real Time Change Detection and Alerts from Highway Traffic Data," SC Conference(SC), Seattle, WA, 2005, pp. 69.
doi:10.1109/SC.2005.60
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