2023
DOI: 10.1177/00187208221142126
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Comparing Subjective Similarity of Automated Driving Styles to Objective Distance-Based Similarity

Abstract: Objective This study explores subjective and objective driving style similarity to identify how similarity can be used to develop driver-compatible vehicle automation. Background Similarity in the ways that interaction partners perform tasks can be measured subjectively, through questionnaires, or objectively by characterizing each agent’s actions. Although subjective measures have advantages in prediction, objective measures are more useful when operationalizing interventions based on these measures. Showing … Show more

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Cited by 4 publications
(2 citation statements)
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“…Euclidean distances (i.e., the length of a line segment between the specific time point on two time series) were measured between the time series for every patient cohort. 26 Euclidean distances were calculated between the time series with the highest incidence and the remaining time series to provide quantitative results for the distance between multiple time series. Finally, year over year percent changes were calculated for every time series by subtracting the more recent value from the older value, divided by the older value, multiplied by 100.…”
Section: Discussionmentioning
confidence: 99%
“…Euclidean distances (i.e., the length of a line segment between the specific time point on two time series) were measured between the time series for every patient cohort. 26 Euclidean distances were calculated between the time series with the highest incidence and the remaining time series to provide quantitative results for the distance between multiple time series. Finally, year over year percent changes were calculated for every time series by subtracting the more recent value from the older value, divided by the older value, multiplied by 100.…”
Section: Discussionmentioning
confidence: 99%
“…Pilot study data from the manual driving scenarios guided the development of the automated driving style. The aggressive, moderate, and conservative styles were determined using the 15th, 50th, and 85th percentile of driv-ers’ manual driving data such as mean deceleration, mean ac-celeration, distance to the stop line when the speed first goes below 1 mph during the approach to stop-controlled intersec-tions and stop duration at stop-controlled intersections (Domeyer et al, 2019; Kamaraj et al, 2023; J. D. Lee et al, 2021).…”
Section: Methodsmentioning
confidence: 99%