A driving behavior analysis device and method

Abstract

The invention discloses a driving behavior analysis device and method. The device comprises an obtaining module, which is used for obtaining traffic information of an automobile in the driving process from a vehicle-mounted driving assistance system; an analysis module, which is connected with the obtaining module and is used for carrying out statistic analysis on the traffic information to obtain vehicle following habits of a driver according to the vehicle following distance, to obtain lane changing habits of the driver according to lane departure times and duration time, to obtain over-speed driving habits of the driver according to over-speed range and duration time and to obtain vehicle following and speed-up driving habits of the driver according to forward collision warning times; and an evaluation module, which is used for comparing the driving habits of the driver obtained by the analysis module with preset good driving habits to obtain bad driving habits of the driver. According to the driving behavior analysis device and method, the driving habits of the driver can be analyzed based on the driving environment, and the driver can be correctly guided, thereby preventing misguiding and meanwhile, improving the driving behavior of the driver.

Description

technical field [0001] The invention relates to the field of vehicle safety, in particular to a driving behavior analysis device and method. Background technique [0002] In the prior art, the driving behavior analysis method based on OBD has been applied to the car, but it can only obtain the speed, acceleration, rotation speed, steering and other values ​​of the car, and then calculate the driving behavior by software, without considering the actual road conditions. This leads to significant limitations in the results of the analysis. [0003] For example, a car suddenly accelerates from 30 kilometers to 100 kilometers in 8 seconds. If it is on an urban road with a speed limit of 60 kilometers or when it is very close to the car in front, it is obviously a bad driving habit. Speeding and rapid acceleration are easy cause an accident. However, if you are merging at the entrance of the expressway and there is no car in the lane ahead, it is safer to increase the speed qui...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, the driving behavior analysis method based on OBD has been applied to the car, but it can only obtain the speed, acceleration, rotation speed, steering and other values ​​of the car, and then calculate the driving behavior by software, without considering the actual road conditions

This leads to significant limitations in the results of the analysis

[0003] For example, a car suddenly accelerates from 30 kilometers to 100 kilometers in 8 seconds. If it is on an urban road with a speed limit of 60 kilometers or when it is very close to the car in front, it is obviously a bad driving habit. Speeding and rapid acceleration are easy cause an accident

However, if you are merging at the entrance of the expressway and there is no car in the lane ahead, it is safer to increase the speed quickly. The driving behavior analysis based on OBD cannot distinguish between the two, which will directly lead to misjudgment; Traditional driving behavior analysis will determine that this is good driving behavior, but if the car is driving on a road with a speed limit of 60 kilometers, this is obviously a continuous speeding behavior; The analysis will also record and analyze this as a bad driving habit, but if the car in front brakes suddenly, it is completely normal and safe driving

To above-mentioned situation, prior art can't judge correctly

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