Judgment Model of Driving Tendency Based on Driving Behavior
Derong Tan, Qiang Shang, Song Gao, Xiaolin Zhang · 2013
Real-time identification of the driver's driving tendency is the key theory to achieve auxiliary auto driving, especially the active safety warning system, which adapts to the driver's individual characteristics. The paper constructs a model based on the driving behavior to identify the driving tendency. First, it analyzes the relationship between driving tendency and driving behavior, using non-linear characteristics of BP neural network to recognize the driving behavior. Second, it uses multi-level fuzzy evaluation method to build driving tendency judgment model. Finally, it verifies the model is feasible by driving simulation experiment.