Drowsiness in conditional automation: Proneness, diagnosis and driving performance effects

J. Goncalves, Riender Happee, KJ Bengler

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

15 Citations (Scopus)
214 Downloads (Pure)

Abstract

Fatigue and drowsiness can play an important role in Conditional Automation (CA), as drowsy drivers may fail to properly recover control. In order to provide better insight in the effects of drowsy driving in Take Over Request (TOR), we designed a driving experiment that extends related literature in drowsiness research CA with self-rated subjective drowsiness, and analyze TOR performance adopting methods from recent TOR publications. Results show that under certain conditions, drivers are very prone to drowsiness. Specifically, in this study the majority of subjects reported a high level of drowsiness before 15 minutes. Furthermore, this self-perceived drowsiness was followed by a decrement in vehicle lateral control during TOR. In this time frame, remaining driving performance and eye-Tracking related metrics did not show significant decrements traditionally associated with fatigue and drowsiness, suggesting self-report to be more indicative of drowsiness than eye-based metrics.

Original languageEnglish
Title of host publicationProceedings of the IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
EditorsR. Rosetti, D. Wolf
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages873-878
ISBN (Electronic)9781509018895
DOIs
Publication statusPublished - 2016
EventITSC 2016: 19th International Conference on Intelligent Transportation Systems - Rio de Janeiro, Brazil
Duration: 1 Nov 20164 Dec 2016
Conference number: 19

Conference

ConferenceITSC 2016: 19th International Conference on Intelligent Transportation Systems
Abbreviated titleITSC 2016
CountryBrazil
CityRio de Janeiro
Period1/11/164/12/16

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