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首页> 外文期刊>Robotics & Machine Learning Daily News >Findings from Clemson University Yields New Data on Machine Learning (Anticipative and Predictive Control of Automated Vehicles In Communication-constrained Connected Mixed Traffic)
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Findings from Clemson University Yields New Data on Machine Learning (Anticipative and Predictive Control of Automated Vehicles In Communication-constrained Connected Mixed Traffic)

机译:Findings from Clemson University Yields New Data on Machine Learning (Anticipative and Predictive Control of Automated Vehicles In Communication-constrained Connected Mixed Traffic)

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摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting from Greenville, South Carolina, by NewsRx journalists, research stated, “Connected automateddriving technologies have shown substantial benefits to improve the safety and efficiency of traffic. However,connected mixed traffic, which involves both connected automated vehicles and connected human-drivenvehicles, is more foreseen for the realistic case in the near future.”

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