Robotics & Machine Learning Daily News2024,Issue(Feb.20) :51-52.DOI:10.1177/03611981221096113

Reports on Artificial Intelligence from Texas A&M University Pro- vide New Insights (Short Duration Crash Prediction for Rural Two- lane Roadways: Applying Explainable Artificial Intelligence)

Robotics & Machine Learning Daily News2024,Issue(Feb.20) :51-52.DOI:10.1177/03611981221096113

Reports on Artificial Intelligence from Texas A&M University Pro- vide New Insights (Short Duration Crash Prediction for Rural Two- lane Roadways: Applying Explainable Artificial Intelligence)

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Abstract

2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intelligence are discussed in a new report. According to news originating from College Station, Texas, by NewsRx correspondents, research stated, “Conventional traffic crash analysis methods often use highly aggregated data, making it difficult to understand the effects of time-varying factors on crash occurrence. In this study, the combined effect of roadway geometry, speed distribution, and weather conditions on crash occurrence and severity was investigated on short duration daily level crash data.”

Key words

College Station/Texas/United States/North and Central America/Artificial Intelligence/Emerging Technologies/Machine Learning/Texas A&M University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量5
参考文献量39
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