Abnormal driving behavior thresholds of highway minibuses based on trajectory data
In order to analyze the possibility and riskiness of accidents caused by different abnormal driving behaviors,quantify the threshold size of acceleration and deceleration under different driving behaviors.Based on the trajectory data of the vehicle,the interaction relationship between speed and acceleration was analyzed,and the function relationship between speed and acceleration was calibrated using regression,and finally the judgment model of different abnormal behaviors was constructed.The results show that the sum of the mean acceleration and 1 times the standard deviation can be used as the general abnormal behavior judgment threshold,in this range drivers have the potential to create risk and need to be reasonably alerted;The sum of the mean value of acceleration and 2 times the standard deviation can be used as the threshold for judging extreme abnormal behavior,in this range of drivers already has some risk and requires some control.The model overcomes the previous requirement of using fixed thresholds and allows for real-time dynamic monitoring of driving behavior,providing a new approach to the study of microscopic driving behavior.