Evaluating intervention strategies for metering in the presence of trajectory uncertainty

S. Shresta, T. Gaydos, W. Kirkman
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引用次数: 2

Abstract

Presents a collection of slides from the author's conference presentation. • These results illustrate the trade-off between early and late intervention in the context of TBM - ABESS: • An intervention strategy with a ramped intervention threshold of 50 seconds per 100 NM minimizes the cost of speed intervention (as defined by the squared speed) - TMA: • An early distributed delay is clearly worse than both evenly distributed delay and “delay discounting” • Evenly distributed and “delay discounting” are similar Differences between them may be due to model effects • Next Steps - Explore other intervention strategies and costs - Model speed adjustment and vectoring together
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轨迹不确定性下的测量干预策略评估
展示了作者会议演讲的幻灯片集合。•这些结果说明了TBM - ABESS背景下早期和晚期干预之间的权衡:•每100 NM 50秒的干预阈值的干预策略将速度干预的成本降至最低(由平方速度定义)- TMA:•早期分布式延迟明显比均匀分布延迟和“延迟折扣”更糟糕•均匀分布和“延迟折扣”是相似的,它们之间的差异可能是由于模型效应•下一步-探索其他干预策略和成本-模型速度调整和矢量一起
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