Horn, S.E., Madigan, R. orcid.org/0000-0002-9737-8012, Schulz, M. et al. (3 more authors) (2024) Smooth Rides Ahead: Integrating Chauffeur Driving Styles into HAVs. In: AutomotiveUI '24 Adjunct: Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. AutomotiveUI '24: 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 22-25 Sep 2024, Stanford, CA, USA. Association for Computing Machinery (ACM) , pp. 289-291. ISBN 979-8-4007-0520-5
Abstract
This study investigates a novel methodology for enhancing passenger comfort in highly automated vehicles (HAVs) by deriving driving patterns from professional chauffeurs. We collected detailed driving and interview data from chauffeurs, who are known for their smooth and comfortable driving styles. A Two-Step deceleration profile was derived from this data. Two different versions of the Two-Step Profile (V1 and V2), along with a One-Step profile, were integrated into an HAV and tested in various driving scenarios with 36 participants. Participants experienced each profile twice: once while attentive and once while engaged in a non-driving activity. By transferring the chauffeur's driving style to an HAV, this study evaluates the feasibility and comfort of human-like driving patterns in automated systems. The findings provide valuable insights for designing HAVs that prioritize passenger comfort, bridging the gap between human driving expertise and automated technology.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a conference paper published in AutomotiveUI '24 Adjunct: Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, made available under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | highly automated vehicles, driving comfort, driving style, chauffeur- like driving, deceleration profiles, non-driving related activities |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Oct 2024 14:39 |
Last Modified: | 16 Oct 2024 14:39 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Identification Number: | 10.1145/3641308.3680511 |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218406 |