Recent Findings in Risk Management Described by Researchers from Ministry of Education (How to determine an optimal threshold to classify real-time…
Recent Findings in Risk Management Described by Researchers from
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According to the news editors, the research concluded: "This method can be well-behaved to automatically identify thresholds in crash prediction, by minimizing the cross entropy between the original dataset with continuous probability of a crash occurring and the binarized dataset after using the thresholds to separate potential crash warnings against normal traffic conditions."
For more information on this research see: How to determine an optimal threshold to classify real-time crash-prone traffic conditions? Accident Analysis and Prevention, 2018;117():250-261. Accident Analysis and Prevention can be contacted at:
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The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2018.04.022. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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