Forecasting Sparse Traffic Congestion Patterns Using Message-Passing RNNS.
Shiva R. IyerUlzee AnLakshminarayanan SubramanianPublished in: ICASSP (2020)
Keyphrases
- message passing
- traffic congestion
- belief propagation
- distributed systems
- traffic flow
- recurrent neural networks
- markov random field
- shared memory
- sum product algorithm
- traffic information
- inference in graphical models
- travel time
- data mining techniques
- graphical models
- road network
- energy function
- urban areas
- image features
- video sequences
- sum product
- three dimensional