Driving behavior guidance method and device and vehicle

Abstract

The invention provides a driving behavior guidance method and device and a vehicle. The method comprises the following steps: collecting data related to vehicle driving; carrying out preprocessing operation on the collected data to obtain a data set D, wherein the data set D has a corresponding attribute set A, and each piece of data in the data set D is corresponding to data related in the driving process of one vehicle; constructing a classifier based on the data set D obtained after data pre-processing, each attribute in the classifier serving as a classification standard; and carrying outclassification on the data in the data set D through the classifier to obtain a classification result, and diverting vehicles to different lanes according to the classification result. The method is characterized by collecting the data related in the vehicle driving process, especially the driving behavior data of a driver, wherein the data has a plurality of attributes, setting a plurality of types for strength indexes of each attribute, and constructing the classifier for carrying out classification on vehicle driving, thereby realizing collision warning and guiding the vehicles to drive.

Description

technical field [0001] The present invention relates to the Internet of Vehicles technology, in particular to a method, device and vehicle for guiding driving behavior. Background technique [0002] The vehicle speed guidance technology includes two types, the vehicle auxiliary system based on the vehicle hardware, such as the vehicle adaptive cruise system (ACC, Adaptive Cruise Control), and the vehicle auxiliary coordination system based on the wireless network. [0003] The vehicle assistance system adopts multi-sensor integration technology and fusion technology. When the vehicle body is close to dangerous objects or obstacles, or when there are pedestrians, animals, locomotives and other moving objects approaching the front and rear of the vehicle body suddenly during driving and reversing, if the driver If there is no detection or no time to brake, the vehicle assistance system will actively and intelligently make the vehicle brake automatically, so as to avoid safety ...

AI Technical Summary

Problems solved by technology

[0008] The existing vehicle auxiliary coordination system is limited by network bandwidth and delay, and cannot meet the real-time requirements of the Internet of Vehicles

In the LTE network, the time delay from the car to the base station is 20 milliseconds, and the time delay from the base station to the Internet of Vehicles platform in the Internet Data Center (IDC, Internet Data Center) is 50 milliseconds, and the processing time of superimposed business logic will exceed 100 milliseconds. The delay requirement of the Internet of Vehicles application scenario stipulated by the standardization organization is 100 milliseconds or even 20 milliseconds, and the existing vehicle auxiliary coordination system cannot meet the standard

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