Risk Evaluation during the Takeover of Automated Vehicles Based on Improved Driving Safety Field

Li, Xin; Zhao, Min; Sun, Dihua; Mao, Peng

doi:10.1061/9780784483565.060

Cited by 1 publication

(1 citation statement)

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“…To include all available parameters in a single metric, Agrawald and Peeta proposed the take-over performance index (TOPI), which consists of three parts: risk of collision, response intensity, and trajectory quality [52]. Similarly, Li et al proposed a risk evaluation method based on the driving safety field [71], and Kolekar et al proposed the driver risk field-based estimation as a prediction of driver perceived risk [72].…”

Section: Related Work On Common Take-over Parametersmentioning

confidence: 99%

Determining Key Parameters with Data-Assisted Analysis of Conditionally Automated Driving

Gruden

Jakus

2023

Applied Sciences

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In conditionally automated driving, a vehicle issues a take-over request when it reaches the functional limits of self-driving, and the driver must take control. The key driving parameters affecting the quality of the take-over (TO) process have yet to be determined and are the motivation for our work. To determine these parameters, we used a dataset of 41 driving and non-driving parameters from a previous user study with 216 TOs while performing a non-driving-related task on a handheld device in a driving simulator. Eight take-over quality aspects, grouped into pre-TO predictors (attention), during-TO predictors (reaction time, solution suitability), and safety performance (off-road drive, braking, lateral acceleration, time to collision, success), were modeled using multiple linear regression, support vector machines, M5’, 1R, logistic regression, and J48. We interpreted the best-suited models by highlighting the most influential parameters that affect the overall quality of a TO. The results show that these are primarily maximal acceleration (88.6% accurate prediction of collisions) and the TOR-to-first-brake interval. Gradual braking, neither too hard nor too soft, as fast as possible seems to be the strategy that maximizes the overall TO quality. The position of the handheld device and the way it was held prior to TO did not affect TO quality. However, handling the device during TO did affect driver attention when shorter attention times were observed and drivers held their mobile phones in only one hand. In the future, automatic gradual braking maneuvers could be considered instead of immediate full TOs.

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Section: Related Work On Common Take-over Parametersmentioning

confidence: 99%