Driving Behavior Safety Evaluation Method Based on Human-Vehicle-Environment Multiple Data Sources

A behavioral and data technology, applied in the field of vehicle safety driving research, can solve the problems of not being able to fully and completely analyze the driver's state, ignoring the impact, and not providing the basis for judging various indicators.

CN107618512BActive Publication Date: 2019-06-18TSINGHUA UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2019-06-18

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Abstract

The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.
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Description

technical field

[0001] The invention belongs to the field of automobile safety driving research in road transportation application, and in particular relates to a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources. Background technique

[0002] In the process of driving a car, there are many subjective and objective unsafe factors. For example, when driving forward, the driver performs operations such as sudden braking and overtaking, which lead to safe driving accidents. Another example is that due to overtime driving or physical discomfort, the driver cannot perform his driving skills normally, and the operation stagnation or operation error occurs, resulting in a safe driving accident. In addition, if the condition of the vehicle itself or the environment is not good, such as rain and snow, it will also affect safe driving.

[0003] With the gradual deepening of the application of the Internet of Vehicles, the installation...

Examples

Embodiment Construction

[0058] The driving behavior safety evaluation method based on human-vehicle-environment multiple data sources proposed by the present invention will be described below in conjunction with the accompanying drawings and embodiments.

[0059] The driving behavior safety evaluation method based on the human-vehicle-environment multi-data source proposed by the present invention, the overall process is as follows figure 1 shown, including the following steps:

[0060] 1) Obtain data for safety evaluation;

[0061] Obtain the driver's information and data through the on-board video sensor, on-board infrared temperature monitor, and on-board blood alcohol content tester, obtain the driving data of the vehicle to be evaluated through the on-board navigation device connected to the company platform, and obtain the environmental factor data during driving through the cloud platform , the above three kinds of data are used as the source data of automobile driving and stored by a storage...