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This paper presents an approach to detect traffic incident which uses the rules generated by rough sets theory to classify traffic patterns for incident detection. Performance metrics such as detection rate, false alarm rate, mean time to detection and classification rate are computed. By way of illustration, a simulated traffic data set which is balanced and the real 1-880 freeway traffic data collected...
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