Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
Yusheng ZhaoXiao LuoWei JuChong ChenXian-Sheng HuaMing ZhangPublished in: CoRR (2023)
Keyphrases
- traffic flow
- structure learning
- bayesian networks
- graphical models
- road traffic
- intelligent transport systems
- markov logic networks
- traffic data
- cellular automata
- traffic flows
- parameter estimation
- travel time
- traffic congestion
- network structure
- traffic information
- image sequences
- transfer learning
- neural network
- conditional independence
- road safety
- conditional probabilities
- markov networks
- short term
- model selection
- higher order
- social networks
- machine learning
- data mining