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Human driver's pedal behavior is difficult to model because it is the output of a very complicated virtual stochastic system. This paper provides a new way to describe driver's pedal behavior after decomposing it into a sequence of actions. By considering the vehicle and road information as the inputs and the pedal action as the output, an input–output hidden Markov model (IOHMM) is used to describe...
Driver pedal behavior models can benefit vehicle powertrain control and intelligent driving assistance system designs. This paper proposes a novel way to describe the pedal position signal by decomposing it into a series of actions and a nonlinear stochastic driver pedal behavior model is presented under the input-output hidden Markov model (IOHMM) framework. This framework can incorporate the vehicle...
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