Driving style and state identification method based on vehicle controller local area network data information

Abstract

The invention provides a driving style and state identification method based on vehicle controller local area network data information and belongs to the technical field of vehicle intelligent interaction. The driving style and state identification method comprises the steps of collecting and storing controller local area network data of a vehicle to obtain an original vehicle traveling database;extracting data features under the current data volume condition through the algorithm according to the collected data; conducting further analyzing according to the data features to identify and obtain a driving style conclusion under the current data volume condition; conducting continuous expansion to obtain a new vehicle traveling database along with continuous traveling of the vehicle and increasing of new data capable of being collected and stored, repeating the above steps, conducting iteration on identification results continuously to enable the identification results to be infinitelyconvergent to the true driving style of a driver. Through the driving style and state identification method based on vehicle controller local area network data information, autonomous iteration of anidentification system is realized, and the driving style can be accurately identified; and meanwhile, the driving style and state identification method has the advantages of low hardware requirements,easy popularization and quite strong practicality.

Description

technical field [0001] The invention belongs to the technical field of automobile intelligent interaction, and in particular relates to a driver style state identification method based on vehicle controller local area network information. Background technique [0002] With the advent of the era of artificial intelligence, more and more modern automotive intelligent technologies have begun to appear and gradually become mainstream. The form of transportation has also begun to develop in the direction of networking, and the amount of information in the transportation environment has also continued to increase. The driving style of each vehicle driver has become a unique label of the vehicle. On this basis, the traffic network can be intelligently warned and regulated by identifying the driving style of the vehicle in the area to avoid dangerous accidents. Accurate, fast and real-time identification of the driver's style status plays an extremely important role in promoting the...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a driving style state identification method based on vehicle controller local area network information, which is used to solve the problem of the low accuracy of driver driving style identification in the prior art, the inability to extract the driver's significant driving characteristics, and the lack of practicability. Strong problems, to achieve accurate identification of the driver's driving style state, and can provide corresponding identification sub-results according to different operating scenarios, which is conducive to improving the in-depth analysis of the driver's characteristics and improving the environmental adaptability of the method

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