Using Pattern-Recognition Techniques
نویسنده
چکیده
Two incident·detection experiments were conducted on the Queen Elizabeth Way Freeway Surveillance and Control System in Ontario. A pattern·recognition approach was applied to improve incident·detection algorithms. By considering the trueand false-incident-alarm identification process as pattern-recognition in nature, the maximum-likelihood decision principle was applied to develop an optimum incident-duration persistence test. The false-alarm rate fell from 0.09 to 0.06 percent during a nine-month field test experiment. In the second experiment a twolayer committee-machine structure achieved an 85.7 percent detection rate on 28 samples of historical incident data.
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