Construction of Driving Behavior Scoring Model based on OBD Terminal Data Analysis

In order to accurately identify abnormal driving behaviors, this paper proposes different abnormal driving behavior recognition algorithms. The algorithm obtains driver's driving data through the OBD terminal, combines the x-axis and y-axis acceleration changes and behavior duration of the vehicle's three-axis acceleration sensor to identify abnormal driving behaviors, establishes a hierarchical driving behavior indicator system and judgment matrix. On this basis, a driving behavior scoring model is established. The model combines the driving data of the driver, takes the proportion of abnormal driving behavior as the evaluation index, and uses the entropy weight method and the analytic hierarchy process to obtain the index weight. The test results of an example show that the model can analyze and evaluate the driving behavior of the driver well, and give a score of driver's behavior, to encourage the driver to develop good driving habits and effectively prevent the occurrence of traffic accidents.