An adversarial variational inference approach for travel demand calibration of urban traffic simulators.
Martin MladenovSanjay Ganapathy SubramaniamChih-Wei HsuNeha AroraAndrew TomkinsCraig BoutilierCarolina OsorioPublished in: SIGSPATIAL/GIS (2022)
Keyphrases
- urban traffic
- variational inference
- bayesian inference
- traffic control
- gaussian process
- posterior distribution
- topic models
- probabilistic graphical models
- probabilistic model
- latent dirichlet allocation
- variational methods
- mixture model
- closed form
- traffic flow
- exact inference
- exponential family
- traffic congestion
- graphical models
- factor graphs
- latent variables
- puts forward
- dynamic programming
- optic flow
- approximate inference
- route planning
- bayesian networks
- maximum a posteriori
- text mining
- belief propagation
- first order logic