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Found 3 papers, 1 papers with code
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.
On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework
The proposed framework employs a transfer learning model.
MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring
In multimodal traffic monitoring, we gather traffic statistics for distinct transportation modes, such as pedestrians, cars and bicycles, in order to analyze and improve people's daily mobility in terms of safety and convenience.
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