Identification system for free flow car driving tendency based on dynamic collaborative deduction of people and vehicle environment

The invention discloses an identification system for free flow car driving tendency based on dynamic collaborative deduction of people and vehicle environment. The system is established based on following steps: analyzing micro measured driving data of a driver by a feature extracting method based on a BP (Back Propagation) nerve network in an intelligent pattern identification theory, extracting a variable which has better classifying capability to the driving tendency types, and establishing a driving tendency identification model based on the data. The identification of the tendency of the driver has significances for enhancing vehicle auxiliary driving, in particular effectiveness and accuracy of an active safe pre-warning system.