首页|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)
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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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.”
College StationTexasUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine LearningTexas A&M University
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