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Analysis method for evaluating real-time safety characteristics of drivers

A driver safety technology, applied in the analysis field of driver real-time safety feature evaluation, can solve the problems of poor practicability, insufficient accuracy, and difficulty in popularization and application, and achieve the effect of preventing traffic accidents

Inactive Publication Date: 2017-05-17
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned driving state monitoring system has problems such as insufficient accuracy and poor practicability, and it is difficult to popularize and apply it in the actual driving environment.

Method used

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  • Analysis method for evaluating real-time safety characteristics of drivers
  • Analysis method for evaluating real-time safety characteristics of drivers
  • Analysis method for evaluating real-time safety characteristics of drivers

Examples

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Embodiment 1

[0029] The invention provides an analysis method for assessing the driver's real-time safety characteristics, which is characterized in that a set of driver driving state safety early warning method is designed, and the system includes three parts: data collection, data processing and early warning prompt. The data processing part uses the car-following model to analyze the actual driving data to identify the driver's unstable state; the early warning prompt part reminds the driver to drive safely according to the data processing results in time to prevent and reduce traffic accidents. Including the following steps:

[0030] Step 1, gather the real-time driving data by data acquisition module, comprise the running status data of this car and the front car: the acceleration of this car, the speed of this car and the front car, the distance between two cars;

[0031] Step 2. Establish a car-following model based on the real-time driving data obtained in step 1, and perform model...

Embodiment 2

[0051] The invention provides a method for real-time analysis of driver safety features, such as figure 2 shown, including the following steps:

[0052] Step 1, collect real-time driving data by data acquisition module, comprise the running state data of this car and front car: the acceleration of this car, the speed of this car and front car, the vehicle distance between two cars;

[0053]Step 2. Establish a car-following model based on the real-time driving data obtained in step 1, and perform model fitting based on the collected data. The objective function is RMSE, and the parameters α and Δt in the calibration model are calibrated;

[0054] Step 3: Output the model result, and remind the driver to take corresponding safety measures in view of the dangerous situation.

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Abstract

The invention belongs to the technical field of driving safety evaluation, and particularly relates to an analysis method for evaluating real-time safety characteristics of drivers. The method comprises the steps of S1, using a data collection module to collect real-time driving data, wherein the real-time driving data comprises the driving condition data of the local car and a front car, the acceleration of the local car, the velocities of the local car and the front car and the car link between the local car and the front car; S2, establishing a car-following model C=alfa*delta t based on the real-time driving data, wherein, C is a stability index, alfa is the driver sensitivity coefficient, delta t is the driver's response time, the model is fitted based on the collected data, a target function is the root-mean-square deviation; S3, based on the fitting result, outputting a model result, if the model result is danger, and warning the driver to take corresponding safety measures. The driver's condition is monitored in a real-time mode based on the driving data. Real-time warnings are triggered for unstable driving conditions of the driver. When the result indicates the car-following condition of the driver is unstable, warnings are sent to the driver to make the driver drive normally and prevent the incidence of traffic accidents.

Description

technical field [0001] The invention belongs to the technical field of driving safety evaluation, in particular to an analysis method for driver's real-time safety characteristic evaluation. Background technique [0002] Traffic safety is a problem that is closely related to human health and development in the world. The research of American Indian University has confirmed that at least 92.6% of traffic accidents are related to human factors. China's official data report pointed out that 70% of traffic accidents are the driver's responsibility. The reason is that people are relatively the most unstable factors in the road traffic system, and people's physiology and psychology show potential variability and volatility with changes in time and space. The driver is the main body of the human-vehicle-road system, and his individual characteristics determine the quality of driving behavior, which in turn affects traffic safety. These characteristics include various direct factor...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/00G06F2111/10
Inventor 裴欣胡坚明潘雁王鹏举李兴山
Owner TSINGHUA UNIV
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