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20232026
most citedData-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion

2 citations · 3 across the 9 of their papers we have counts for

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cs.RO2023

Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective

Dajiang Suo, Vindula Jayawardana, Cathy Wu

An emerging public health application of connected and automated vehicle (CAV) technologies is to reduce response times of emergency medical service (EMS) by indirectly coordinatin…

cs.LG2023★ 2 cited

Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion

Edgar Ramirez Sanchez, Shreyaa Raghavan, Cathy Wu

Identifying stop-and-go events (SAGs) in traffic flow presents an important avenue for advancing data-driven research for climate change mitigation and sustainability, owing to the…