Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
Yusheng ZhaoXiao LuoWei JuChong ChenXian-Sheng HuaMing ZhangPublished in: ICDE (2023)
Keyphrases
- traffic flow
- structure learning
- graphical models
- bayesian networks
- road traffic
- traffic flows
- conditional independence
- cellular automata
- intelligent transport systems
- traffic data
- markov logic networks
- traffic network
- traffic light
- dynamically changing
- network structure
- traffic congestion
- higher order
- pairwise
- transfer learning
- parameter estimation
- markov networks
- belief propagation
- traffic information
- short term
- random variables
- road safety
- long term