The effect of see-through truck on driver monitoring patterns and responses to critical events in truck platooning

Zhang, B.; Wilschut, E.S.; Willemsen, D.M.C.; Alkim, T.; Martens, M.H.

doi:10.1007/978-3-319-60441-1_81

The effect of see-through truck on driver monitoring patterns and responses to critical events in truck platooning

Title

The effect of see-through truck on driver monitoring patterns and responses to critical events in truck platooning

Author

Zhang, B.
Wilschut, E.S.
Willemsen, D.M.C.
Alkim, T.
Martens, M.H.

Contributor

Stanton, N.A. (editor)

Publication year

2018

Abstract

Automated platooning of trucks has its beneficial effects on energy saving and traffic flow efficiency. The vehicles in a platoon, however, need to maintain an extremely short headway to achieve these goals, which will result in a heavily blocked front view for the driver in a following truck. Monitoring surrounding traffic environment and foreseeing upcoming hazardous situations becomes a difficult, yet safety-critical task. This exploratory study aims to investigate whether providing platoon drivers with additional visual information of the traffic environment can influence their monitoring pattern and increase awareness of the upcoming situation. 22 professional truck drivers participated in the driving simulator experiment, either following a see-through lead truck (i.e., with projection of forward scene attached to the rear of the lead truck), or a normal lead truck until the automation system failed unexpectedly in a critical situation. Results showed that when provided with front view projection, the participants spent 10% more time monitoring the road, and responded less severely to a critical situation, suggesting a positive effect of the "see-through" technology.

Subject

Traffic
Automated driving
Eye tracking
Human machine interaction
Response time
Takeover
Truck platooning
Automation
Human computer interaction
Human engineering
Response time (computer systems)
Truck drivers
Automated driving
Beneficial effects
Exploratory studies
Eye-tracking
Human machine interaction
Monitoring patterns
Takeover
Traffic environment
Trucks