首页|Reports on Machine Learning Findings from Zhejiang University Provide New Insights (Estimating Lane Utilization for Variable Approach Lanes Using Explainable Machine Learning)
Reports on Machine Learning Findings from Zhejiang University Provide New Insights (Estimating Lane Utilization for Variable Approach Lanes Using Explainable Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learning have been published. According to newsreporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “This studyinvestigates the flow distribution patterns at intersection approaches with variable approach lanes (VALs)and proposes a new lane utilization adjustment factor specifically for VALs. Unmanned aerial vehicles(UAVs) were used to collect naturalistic data, including traffic flow, approach geometry, and signal controlspecificinformation, at selected intersections in Hangzhou, China.”
HangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningZhejiang University
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