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A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment
By learning the association between the spatial-temporal features of traffic states in before and after situations for known freeway segments, the proposed framework can transfer this learning to predict the traffic parameters for new freeway segments.
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