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Reproducibility of Driving Profiles - Application of the Wizard of Oz Method for Vehicle Pedestrian Interaction

  • Technische Universität München
  • Innovations

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

10 Zitate (Scopus)

Abstract

Wizard of Oz (WoZ) studies are a method used to examine pedestrians' understanding of the different driving behaviors of automated vehicles (AV). In this WoZ study, a human driver, hidden behind a seat cover, repeatedly followed predefined trajectories. First, we asked the participants to rate different AV driving behaviors from a pedestrian's perspective. Then we examined the performance of the human driver in following the trajectories. The results showed that 98 % of pedestrians understood the intentions of an AV by judging the driving behavior, if the trajectory met certain criteria. Ambiguous driving profiles decreased the recognition rate to 26 %. Furthermore, the driver followed diverse trajectories of differing qualities. The results also demonstrated that more complex trajectories were harder to follow. Reducing speed until reaching the exact point of a complete standstill appeared to be problematic. In conclusion, the findings suggest that WoZ studies are a useful way to evaluate large differences in trajectories, but are not suited to evaluating slight speed or acceleration differences.

OriginalspracheEnglisch
Titel2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten3954-3959
Seitenumfang6
ISBN (elektronisch)9781538670248
DOIs
PublikationsstatusVeröffentlicht - Okt. 2019
Veranstaltung2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, Neuseeland
Dauer: 27 Okt. 201930 Okt. 2019

Publikationsreihe

Name2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Konferenz

Konferenz2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Land/GebietNeuseeland
OrtAuckland
Zeitraum27/10/1930/10/19

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