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

A technology for physiological parameters and drivers, applied in collision avoidance systems, alarms, instruments, etc., to solve problems such as the inability to obtain the driver's driving generation, and the lack of effective correlation and quantification of driving status information.

Active Publication Date: 2015-07-22
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • 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 for traffic warning using vehicle conditions and physiological parameters, such as figure 1 Shown: include the following steps:

[0057] S1: Acquire a first parameter in real time, where the first parameter includes a physiological parameter of the driver;

[0058] Acquire a second parameter in real time, where the second parameter includes real-time vehicle condition data parameters;

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

[0061] S31: Use R / S analysis method to obtain the Hurst index H of the first parameter BIO And the Hurst index H of the second parameter OBD ; When the Hurst index H of the first parameter BIO And the Hurst index H of the second parameter OBD At the same time, when it is...

Embodiment 2

[0089] This embodiment provides a system that uses vehicle conditions and driver physiological parameters for traffic early warning, which has a one-to-one correspondence with the vehicle, 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 a time axis;

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

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

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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 a system for predicting traffic conditions by using information such as vehicle conditions and driver physiological parameters to provide 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 that plague today's international traffic field, especially traffic safety. After adopting intelligent transportation technology to improve the level of road management, the number of deaths in traffic accidents can be reduced by more than 30% each year, and the efficiency of transportation can be improved by more than 50%. To this end, developed countries in the world are competing to invest a lot of money and manpower to carry out large-scale intelligent transportation system (Intelligent Transportation System, referred to as ITS) technology research experiments. [0003] Although the exist...

Claims

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Application Information

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