@article{ref1,
title="Development of freeway incident-detection algorithms by using pattern-recognition techniques",
journal="Transportation research record",
year="1979",
author="Tsai, J. and Case, E. R.",
volume="722",
number="",
pages="113-116",
abstract="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 true- and 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 -.09 to 9.96 percent during a nine-month field test experiment. In the second experiment a two-layer committee-machine structure achieved an 85.7 percent detection rate on 28 samples of historical incident data.<p />",
language="en",
issn="0361-1981",
doi="",
url="http://dx.doi.org/"
}