Findings from Queensland University of Technology (QUT) Update Understanding of Artificial Intelligence (A Bivariate, Non-stationary Extreme Value Model for Est imating Opposing-through Crash Frequency By Severity By Applying Artificial …)

Robotics & Machine Learning Daily News2024，Issue(Apr.5) ：5-6.

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Findings from Queensland University of Technology (QUT) Update Understanding of Artificial Intelligence (A Bivariate, Non-stationary Extreme Value Model for Est imating Opposing-through Crash Frequency By Severity By Applying Artificial …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ar tificial Intelligence. According to news reportingout of Brisbane, Australia, b y NewsRx editors, research stated, “Multivariate extreme value modellingtechniq ues are widely applied to estimate crash risks from traffic conflicts, with a pr edominant focuson rear-end crashes. In contrast, the suitability of conflict me asures within a multivariate framework forestimating opposing-through crash ris ks has received less attention.”

Key words

Brisbane/Australia/Australia and New Z ealand/Artificial Intelligence/Emerging Technologies/Machine Learning/Queens land University of Technology (QUT)

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出版年

2024

Robotics & Machine Learning Daily News

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