Method for detecting abnormal driving behavior of vehicle

Abstract

The invention discloses a method for detecting the abnormal driving behavior of a vehicle. The method comprises S1, calculating the distance, the time interval, the speed, the acceleration, the direction and the turning angle of two adjacent position points; S2, performing feature extraction on the abnormal driving behavior of the vehicle; S3, when it is detected that the target exhibits an abnormal driving behavior, measuring the distance between driving behavior features at any two position points in a GPS trajectory ; S4, according to the information extracted in the step S1 and the distance between the data points obtained in the step S3, performing clustering analysis on each driving behavior in the step S2, and marking the result of a clustering cluster; S5: comparing the clusteringanalysis result obtained in the step S4 with a point in the GPS trajectory to be tested, determining whether the point is an abnormal point in driving behaviors including overspeed, sharp acceleration, sharp deceleration, sharp braking or frequent lane change, if so, obtaining the abnormal driving behavior of the vehicle according to the information of the abnormal point, otherwise, determining that the vehicle is normally driving. .

Description

technical field [0001] The invention belongs to the field of traffic safety, and in particular relates to a method for detecting abnormal driving behavior of a vehicle. Background technique [0002] Nowadays, with the improvement of people's living standards, the number of motor vehicles is also showing a sharp increase. Due to the driver's abnormal driving behavior, property and life safety are seriously threatened, which is an important cause of traffic accidents. Therefore, using It is of great significance to provide a reliable detection method for the traffic management department by studying how to detect abnormal driving behavior in the study of driving trajectory. Existing abnormal driving behavior detection methods are mostly used for behavior detection based on video data and detection based on vehicle GPS trajectory; [0003] However, abnormal behavior detection based on video is mainly aimed at the scene where bicycles are restricted, and it is difficult to moni...

AI Technical Summary

Problems solved by technology

[0003] However, abnormal behavior detection based on video is mainly aimed at the scene where bicycles are restricted, and it is difficult to monitor the entire transportation process; and for GPS trajectory analysis, it is also based on the prior threshold judgment of bicycles, and most of them set the detection threshold to trigger an alarm. , lack of in-depth data analysis and information mining steps, and does not have the functions of intelligent identification and characteristic analysis

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