A quantitative model of takeover request time budget for conditionally automated driving
Foghor Tanshi, Dirk S\"offker

TL;DR
This paper develops a mathematical model to estimate driver takeover time in conditional automation, considering scenario variables, driver experience, and visual aids, to enhance safety and planning in automated driving systems.
Contribution
It introduces a generalized formula for estimating takeover request time, incorporating multiple factors and validating fixed and variable time budgets with visual imagery effects.
Findings
7 seconds is suitable for certain scenarios
Visual imagery increases takeover time
Proposed formula accounts for individual and scenario variables
Abstract
In conditional automation, the automated driving system assumes full control and only issues a takeover request to a human driver to resume driving in critical situations. Previous studies have concluded that the time budget required by drivers to resume driving after a takeover request varies with situations and different takeover variables. However, no comprehensive generalized approaches for estimating in advance the time budget required by drivers to takeover have been provided. In this contribution, fixed (7 s) and variable time budgets (6 s, 5 s, and 4 s) with and without visual imagery assistance were investigated for suitability in three takeover scenarios using performance measures such as average lateral displacement. The results indicate that 7 s is suitable for two of the studied scenarios based on their characteristics. Using the obtained results and known relations between…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
