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

Bo Zhang, Ellen S. Wilschut, Dehlia M.C. Willemsen, Tom Alkim, Marieke H. Martens

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017
EditorsNeville A. Stanton
Place of PublicationCham
PublisherSpringer
Pages842-852
Number of pages11
ISBN (Electronic)978-3-319-60441-1
ISBN (Print)978-3-319-60440-4
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
EventAHFE 2017 International Conference on Human Factors in Transportation, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume597
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Transportation, 2017
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

Keywords

  • Automated driving
  • Eye tracking
  • Human machine interaction
  • Response time
  • Takeover
  • Truck platooning

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