Driving working load calculation method of automobile driver

A workload and calculation method technology, applied in medical science, psychological devices, sensors, etc., can solve the problem of no clear theoretical calculation method and no clear evaluation standard for driving workload calculation, so as to improve the accuracy and timeliness, Simple operation method

Inactive Publication Date: 2010-04-07

BEIJING UNIV OF TECH

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Problems solved by technology

For the driving workload measured by the above technical methods, there is no clear evaluation standard, ...

Abstract

The invention discloses a driving working load calculation method of an automobile driver; the driving working load of the driver is represented and obtained by utilizing physiology, psychology and driving behavior of the driver; a driving working load calculation model is built by adopting main task measurement, physiology and psychology measurement, synchronous measurement of a working load self-evaluation system and selection indexes; the method comprises the following steps: a driving working load feature information detection system of the automobile driver is built; a building method of the driving working load calculation model of the automobile driver is built; by adopting the obtained driving working load information and data analysis and selection, the driving working load calculation model of the automobile driver is obtained; electro-cardio indexes are taken as representation indexes of physiology and psychology driving working load measurement; in the invention, the characteristics of the driving behavior of the driver are considered, the accuracy and promptness of the driving working load calculation of the driving working load calculation are improved; in addition, the operational method is simple and provides reference frame for road traffic safety study.

Application Domain

SensorsPsychotechnic devices

Technology Topic

Car drivingRoad traffic safety +6

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Examples

Effect test(1)

Test Example

[0054] Applications

[0055] The test researches the driving workload of small passenger car drivers when driving on Yunnan Luofu Expressway. The Luofu Expressway test section has a total length of 78.647 kilometers. Twelve small passenger car drivers were randomly selected to collect multi-dimensional information of the driver's driving workload when driving on the test section, and the driver's driving workload was carried out according to the research theory and method. Calculation of degrees.

[0056] The test adopts the method of real-time recording with the vehicle. The test driver wears dynamic biometrics and psychological instruments to measure during the driving process, and records the health and psychological index parameters of the test driver in real time. At the same time, the test personnel record the test subject with the vehicle. The driver's self-real-time driving work status and corresponding time subjectively evaluated according to the description of the driving scale (Table 1) during driving. In addition, video and record the events and corresponding times encountered by the driver that may affect the driver's psychology during the driving process. Calculate the driver’s driving workload based on 20944 sets of collected data

[0057] Taking the test data of three professional drivers of small passenger cars randomly selected as an example, compare the three drivers on test section I (K50+235~K51+045) and test section II (K68+452~K69+324). During driving, their respective driving workload (K ij ). The basic information of the tested driver is shown in Table 2.

[0058] Table 2 Basic information table of tested drivers

[0059]

[0060] The test section I is a small radius curve section. During the driving of this section, the three drivers subjectively evaluated their uncomfortable driving work, feeling tense, and unable to fully adapt to the road conditions, which corresponds to the high workload state in Table 1. When driving on test section II, these three drivers all subjectively evaluated their driving comfort and ease of driving, which corresponds to the normal workload state in Table 1.

[0061] Compare the real-time driving workload (K) of three drivers driving on test road sections I and II in the same time period. ij ) It can be seen that although different drivers drive on the same road section, their driving workload changes are not exactly the same, and the driving workload is not completely the same, but the driving workload is generally higher on Section I than on Section II, and The change is significant. Such as image 3 Shown.

[0062] Through analysis, it is found that in the time period when the driver self-evaluates his high driving load, the corresponding driving workload (K ij ) Is significantly higher than its self-evaluation of normal workload (K ij )obvious.

[0063] Based on the above conclusions, it can be explained that the driving workload measurement index (K ij ) Consistent with the driver’s qualitative driving workload scale (Table 1), this indicator can accurately and effectively quantify the driver’s driving workload, while excluding the impact of operating speed, individual driver differences and vehicle performance on the driving workload Impact.

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Improve accuracy and timeliness
Easy to operate

Driving working load calculation method of automobile driver

AI-Extracted Technical Summary

Problems solved by technology

Abstract

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Examples

Test Example

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Description & Claims & Application Information

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