Using the Driving Behavior of an Automated Vehicle to Communicate Intentions - A Wizard of Oz Study

Tanja Fuest, Lars Michalowski, Luca Traris, Hanna Bellem, Klaus Bengler

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

57 Scopus citations

Abstract

The study aimed to investigate whether different driving parameters that influence the trajectory can be used to communicate the intention of an automated vehicle (AV) regarding right of way to other traffic participants. We conducted a Wizard of Oz study, in which pedestrians (\mathbf{N}=\mathbf{30}) had to assess the driving behaviors of an AV and a normal vehicle in a shared space situation. Additionally, we evaluated whether the visual presence of a driver influences pedestrians' assessment of the vehicle's driving behavior and intention recognition time (IRT). IRT is the amount of time a pedestrian needs to recognize a vehicle's intention. The results showed that intentions are not only transmitted through the driver, but also through the driving behavior. Furthermore, the driver's visual presence influenced neither IRT nor pedestrians' assessment of the driving behavior.

Original languageEnglish
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3596-3601
Number of pages6
ISBN (Electronic)9781728103235
DOIs
StatePublished - 7 Dec 2018
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: 4 Nov 20187 Nov 2018

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-November

Conference

Conference21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Country/TerritoryUnited States
CityMaui
Period4/11/187/11/18

Keywords

  • (automated) vehicle-pedestrian-interaction
  • Wizard of Oz
  • implicit communication
  • mixed traffic

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