A methodology for generating driving styles for autonomous cars

This work is about the generation of driving styles for autonomous cars. Here, we propose a definition of driving style based on the partition of controller parameters for self-driving vehicles. The main contributions of this work are the following. 1) A methodology based on the controllers' pa...

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Bibliographic Details
Published in:Journal of intelligent transportation systems 2024-01, Vol.28 (1), p.120-140
Main Authors: Peralta, Rafael, Becerra, Israel, Ruiz, Ubaldo, Murrieta-Cid, Rafael
Format: Article
Language:English
Subjects:
Automobiles
Autonomous cars
Collision parameters
comfortable driving styles
Controllers
distinguishable driving styles
generation methodology
Methodology
Virtual reality
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Summary:This work is about the generation of driving styles for autonomous cars. Here, we propose a definition of driving style based on the partition of controller parameters for self-driving vehicles. The main contributions of this work are the following. 1) A methodology based on the controllers' parameters for creating comfortable driving styles that can be used as autonomous cars' operation modes. 2) A proposal to use virtual reality as a testbed for the evaluation of driving styles by users. 3) As an illustration of our methodology, we determine and evaluate distinguishable driving styles by partitioning the time-to-collision parameter of the Intelligent Driver Model (IDM) controller using the Just Noticeable Difference (JND). 4) A proposal of four driving styles that are equally preferable among passengers.
ISSN:1547-2450
1547-2442
DOI:10.1080/15472450.2022.2109417