Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion.
Edgar Ramirez SanchezShreyaa RaghavanCathy WuPublished in: CoRR (2023)
Keyphrases
- kernel methods
- data driven
- traffic volume
- traffic congestion
- congestion control
- learning problems
- support vector
- kernel function
- real time traffic
- kernel matrix
- support vector machine
- network traffic
- reproducing kernel hilbert space
- feature space
- similarity function
- traffic flow
- multiple kernel
- machine learning
- multiple kernel learning
- air traffic
- learning tasks
- graph kernels
- kernel learning
- road network
- kernel matrices
- travel time
- high dimensional feature space
- positive semidefinite