Modeling Drivers' Dynamic Decision-Making Behavior During the Phase Transition Period: An Analytical Approach Based on Hidden Markov Model Theory.
Keshuang TangShengfa ZhuYanqing XuFen WangPublished in: IEEE Trans. Intell. Transp. Syst. (2016)
Keyphrases
- hidden markov models
- phase transition
- decision making
- linear dynamical systems
- gesture recognition
- constraint satisfaction
- satisfiability problem
- np complete
- hard problems
- speech recognition
- markov model
- random constraint satisfaction problems
- conditional random fields
- markov models
- hidden states
- cellular automata
- sequential data
- random instances
- dynamic probabilistic networks
- handwritten word recognition
- randomly generated
- sat problem
- viterbi algorithm
- probabilistic model
- special case
- hierarchical hidden markov model
- learning algorithm