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Active Attention. A driving simulator experiment. Evaluation of an method to detect driver fatigue impairment based on analysis of the driver’s micro control. Objective. 10 shift workers ( 5 male, 5 female ) 2 hours drive, two occasions (morning) after a night’s work

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Presentation Transcript
active attention

Active Attention

A driving simulator experiment

objective
Evaluation of an method to detect driver fatigue impairment based on analysis of the driver’s micro controlObjective
method
10 shift workers (5 male, 5 female)

2 hours drive, two occasions (morning)

after a night’s work

after a normal sleep

Rural road, oncoming cars

Double blind test

Data in 5 minute blocks, random order, missing data replaced – equal number of sections for all subjects

Method
subjects
Mean age 37 years

Mean license age 16.4 years

Mean annual driving distance 9500 km

4 had near accident experiences

Most shift workers for 5 - 9 years

Subjects
measures
Driving behaviour Physiology

speed - EOG (duration, freq.)

lateral position

TLC KSS ratings

steering wheel angle - driver (5 min)

lateral acceleration - test leader (5 min)

steering wheel torque

Questionnaires

- pre and post

Measures
analysis approach
Analysis approach
  • Comparing AA results to KSS driver ratings
    • correlation
    • multiple regression
  • Reference
    • Driver’s lateral and longitudinal control
    • Blink duration (< 0.5 s) and frequency
    • Test leader KSS ratings
results driving behaviour
4 drivers were not able to complete fatigued driving condition

11 “accidents”

4 wheels off the road

10 “fatigued”, 1 “alert”

10 at KSS level 9, 1 at KSS level 8

Results - driving behaviour
driver 3
Driver 3

Stopped driving

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