Latest revision as of 10:00, 8 February 2021

Abstract

utomated 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 document

The different versions of the original document can be found in:

• http://resolver.tudelft.nl/uuid:71ff3a09-d537-4f92-ba8d-6d8565bcd520

• http://dx.doi.org/10.1007/978-3-319-60441-1_81,

http://www.scopus.com/inward/record.url?scp=85022328712&partnerID=8YFLogxK

• http://link.springer.com/content/pdf/10.1007/978-3-319-60441-1_81,

http://dx.doi.org/10.1007/978-3-319-60441-1_81 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-319-60441-1_81,

https://research.utwente.nl/en/publications/the-effect-of-see-through-truck-on-driver-monitoring-patterns-and,

https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A71ff3a09-d537-4f92-ba8d-6d8565bcd520,

https://repository.tudelft.nl/view/tno/uuid:71ff3a09-d537-4f92-ba8d-6d8565bcd520,

https://rd.springer.com/chapter/10.1007/978-3-319-60441-1_81,

https://academic.microsoft.com/#/detail/2656163279