首页|Findings from Oklahoma State University Update Knowledge of Machine Learning (Pa vement Safety Characteristics Evaluation Utilizing Crowdsourced Vehicular and Ce llular Sensor Data)
Findings from Oklahoma State University Update Knowledge of Machine Learning (Pa vement Safety Characteristics Evaluation Utilizing Crowdsourced Vehicular and Ce llular Sensor Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Stillwater, Oklahoma, by News Rx correspondents, research stated, “Monitoring pavement conditionsusing crowds ourced vehicular data can significantly contribute to real-time and cost-effecti ve pavementmaintenance decision-making. This paper presents the development of various machine learning modelsfor predicting crucial pavement characteristics essential for ensuring roadway safety, including roadwaylongitudinal grade, cro ss slope, international roughness index, surface rutting, and pavement skid resistance.”
StillwaterOklahomaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningOklaho ma State University
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