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As a prerequisite for the control of the brake by wire system, the identification of braking intention has a direct impact on the accuracy of the vehicle control system, and it affects the vehicle running safety under specific working conditions, thus, in order to improve the active safety and braking performance of the vehicle, aiming at the longitudinal stability control problem in vehicle dynamics, the braking intention is taken as the breakthrough point, and the classification of braking intentions is introduced. At the same time, the vehicle dynamics control of braking intention recognition based on the research status at home and abroad is outlined. Besides, combining with the braking intention recognition feature selection problem, several typical braking intention recognition methods, including fuzzy inference system, neural network, adaptive neural fuzzy inference system, hidden Markov model and cluster analysis, are comparatively analyzed. Considering the status quo of research, the research emphasis and direction of braking intention recognition for vehicle dynamics control is pointed out, including reasonably selecting characteristic parameters, transition of export target and multistandard evaluation system.