Driving style identification method based on traffic conflict
A traffic conflict and driving style technology, applied in the field of driving style recognition, can solve problems such as the influence of road traffic safety level that cannot directly reflect the driving style, and it is difficult to apply vehicle driving data, so as to achieve the effect of improving road safety.
Inactive Publication Date: 2021-07-09
SOUTHEAST UNIV
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Problems solved by technology
[0005] Adopting a single clustering method, such as fuzzy C-means clustering, is difficult to apply to different types of vehicle driving data;
[0006] The verification of the clustering results cannot directly reflect the impact of driving style on the level of road traffic safety
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[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0049] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiment...
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The invention discloses a driving style identification method based on traffic conflicts. The method comprises the following steps: collecting driving track data, and extracting vehicle dynamics parameters and lane changing behavior characterization parameters of a single vehicle and traffic conflict parameters generated by vehicle interaction based on the driving track data; constructing a driving style characterization parameter set according to the vehicle kinetic parameters of the single vehicle, the lane changing behavior characterization parameters and traffic conflict parameters generated by vehicle interaction, reducing the data dimension of the driving style characterization parameter set by adopting factor analysis, and extracting main factors of the driving style characterization parameter set; identifying the driving style represented by the main factor by using three clustering algorithms, so that the driving style can be rapidly and accurately identified, and the accuracy of driving style identification can be effectively improved; and the classification result is verified by adopting the traffic conflict severity and the conflict type, so that the influence of the driving style on the road traffic safety can be reflected more directly.
Description
technical field [0001] The invention relates to the technical field of driving style recognition, in particular to a traffic conflict-based driving style recognition method. Background technique [0002] In the human-vehicle-road traffic system, the driver is both the perception link of the road condition and the decision-making link of the vehicle operation, which plays an important role in the safe and stable driving of the vehicle and the improvement of the overall traffic safety level of the road. When drivers with different driving styles face the same traffic scene, they often make very different or even completely opposite driving decisions, and the resulting traffic conflict risks will also vary to varying degrees. As an internal influencing factor of driving behavior, driving style can be used to control the driver's driving behavior through daily detection and feedback, thereby improving road safety. [0003] Driving style research mainly includes two aspects, one...
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IPC IPC(8): G08G1/01G06K9/62
CPCG08G1/0125G08G1/0129G08G1/0137G06F18/2321
Inventor 项乔君王明远苑仁腾卢启慧彭铖
Owner SOUTHEAST UNIV