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Traffic early-warning method and system by means of vehicle conditions and driver physiological parameters

A physiological parameter and driver's technology, which is applied in anti-collision systems, alarms, instruments, etc., can solve the problems of driving status information that has not been effectively correlated, quantified, and cannot be obtained from the driver's driving.

Active Publication Date: 2014-02-26
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, the collection of driver information only stays in the superficial analysis, and has not been effectively associated with the driving state information of the vehicle, let alone quantified the relationship between the two.
Therefore, it is impossible to obtain accurate results of whether driver information will have a bad influence on driving

Method used

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  • Traffic early-warning method and system by means of vehicle conditions and driver physiological parameters
  • Traffic early-warning method and system by means of vehicle conditions and driver physiological parameters
  • Traffic early-warning method and system by means of vehicle conditions and driver physiological parameters

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Embodiment 1

[0056] This embodiment provides a flow chart of a method of using vehicle conditions and physiological parameters for traffic early warning, as shown in figure 1 Shown: including the following steps:

[0057] S1: Acquiring a first parameter in real time, the first parameter including a driver's physiological parameter;

[0058] Obtaining a second parameter in real time, the second parameter comprising a real-time vehicle condition data parameter;

[0059] S2: Establish a coordinate system with the acquisition time as the abscissa, and the acquired first parameter and the second parameter as the ordinate;

[0060] S3: Within the range of the abscissa [0, T], divide it into several equal time periods for the following analysis:

[0061] S31: Obtain the Hurst exponent H of the first parameter by R / S analysis method BIO and the Hurst exponent H of the second parameter OBD ; When the Hurst exponent H of the first parameter BIO and the Hurst exponent H of the second parameter ...

Embodiment 2

[0089] This embodiment provides a system for traffic early warning using vehicle conditions and driver physiological parameters, which has a one-to-one correspondence with vehicles, such as image 3 As shown, it further includes:

[0090] The first data acquisition module: used to acquire the physiological parameters of the driver;

[0091] The second data acquisition module: used to acquire real-time vehicle condition data parameters;

[0092] Data synchronization module: synchronize the physiological parameters in the first data acquisition module with the vehicle condition data parameters in the second data acquisition module on the time axis;

[0093] Analysis and judgment module: used to divide the time zone [0, T] into several equal time periods for the following analysis:

[0094] Using the R / S analysis method to obtain the Hurst exponent H of the first parameter BIO and the Hurst exponent H of the second parameter OBD ; When the Hurst exponent H of the first parame...

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Abstract

The invention provides a traffic early-warning method and system by means of vehicle conditions and driver physiological parameters. The method includes the steps of obtaining the driver physiological parameters, obtaining real-time vehicle condition data parameters, carrying out time shaft synchronization on the two sets of the parameters, calculating the Hurst index HBIO of the driver physiological parameters and the Hurst index HOBD of the real-time vehicle condition data parameters by means of the R / S analysis method, judging that the driver physiological parameters and the vehicle condition data parameters cause negative influences on traffic conditions and traffic accidents may happen when the HBIO and the HBOD are smaller than a warning threshold at the same time, and carrying out background processing. The driver physiological parameters are extracted to serve as the most important factor causing influences on the traffic conditions, the driver physiological parameters are combined with vehicle condition data so that reliability of monitoring can be improved, the Hurst index of the vehicle condition data parameters and the Hurst index of the driver physiological parameters are calculated by means of the R / S analysis method so that the trend of vehicle conditions and physiological data in the next period can be judged, and the threshold values required by early warning of the vehicle condition data and the physiological parameters are calculated in a quantitative mode.

Description

technical field [0001] The invention relates to a method and system for predicting traffic conditions by using information such as vehicle conditions and driver's physiological parameters, for early warning, sorting out traffic in advance, and intelligent management. Background technique [0002] Traffic safety, traffic congestion and environmental pollution are the three major problems plaguing the field of international transportation today, especially traffic safety. After the use of intelligent transportation technology to improve road management, the number of traffic accident deaths can be reduced by more than 30% every year, and the use efficiency of vehicles can be improved by more than 50%. To this end, developed countries in the world are investing a lot of money and manpower to conduct large-scale intelligent transportation system (Intelligent Transportation System, referred to as ITS) technology research and experimentation. [0003] Although the existing intell...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/02G08G1/16
Inventor 李慧云彭磊徐国卿
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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