What happens when drivers of automated vehicles take over control in critical lane change situations?

Roche, Fabienne; Becker, Sandra; Thüring, Manfred

doi:10.1016/j.trf.2021.11.021

Cited by 16 publications

(4 citation statements)

References 13 publications

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“…Therefore, it is difficult to judge why the driver-initiated takeovers occur, perhaps because they are surprised by an unexpected event or because they suspect that automation can not manage the current operation. [7] It is worth noting that when the risk is perceived, the driver may be inclined to trust their actions and take over the vehicle, which may raise the issues of the safety of the intended functionality (SOTIF) due to insufficient control over the hazard. Therefore, the SOTIF of ADS must be considered in designing the driver-initiated takeover system.…”

Section: Introductionmentioning

confidence: 99%

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Lateral Driver‐Automation Driver Authority Decision Considering Safety of the Intended Functionality

Wang,

Chen

et al. 2024

Advcd Theory and Sims

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The driver authority decision for driver‐initiated takeover is closely related to vehicle driving safety. In this paper, a lateral driver‐automation driver authority decision method considering the safety of the intended functionality is proposed to improve vehicle driving safety. Based on systems‐theoretic processes analysis, functional safety analysis of driver initiative takeover is carried out to clarify the safety of the intended functionality issues caused by the unreasonable decision. Then, a method for defining the safe driving area is developed to assess the safety level of the driving area around the ego vehicle. Taking the driver‐vehicle state parameters and vehicle–vehicle state parameters as input, a deep neural network model is constructed to determine the intention of the driver to take over the vehicle. The lateral driver‐automation driver authority decision method is designed to make the driver‐machine take‐over decisions, which considers the safety of the intended functionality. The effectiveness of the proposed method is evaluated via numerical simulation and hardware‐in‐the‐loop experiments. The results show that the designed method not only improves the control ability of the driver to the maximum extent but also integrates the perception ability of the driver into the vehicle control system to improve further vehicle driving safety.

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Section: Introductionmentioning

confidence: 99%

“…Therefore, it is difficult to judge why the driver‐initiated takeovers occur, perhaps because they are surprised by an unexpected event or because they suspect that automation can not manage the current operation. [ 7 ]…”

Section: Introductionmentioning

confidence: 99%

Lateral Driver‐Automation Driver Authority Decision Considering Safety of the Intended Functionality

Wang,

Chen

et al. 2024

Advcd Theory and Sims

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“…Additionally, unexpected inertial forces might also affect driver inputs on the controls. The potential safety risk of driver intervention during system-initiated critical events ( Roche et al, 2020 , 2022 ) and minimal risk maneuvers ( Karakaya and Bengler, 2021 ) have been demonstrated in driving simulators. Roche et al (2022) found that drivers tended to unsafely depart the travel lane or collide with an obstacle when intervening during a CAD system-initiated critical lane change.…”

Section: Introductionmentioning

confidence: 99%

“…The potential safety risk of driver intervention during system-initiated critical events ( Roche et al, 2020 , 2022 ) and minimal risk maneuvers ( Karakaya and Bengler, 2021 ) have been demonstrated in driving simulators. Roche et al (2022) found that drivers tended to unsafely depart the travel lane or collide with an obstacle when intervening during a CAD system-initiated critical lane change. While Roche et al (2020) found that drivers tended to overreact by either decelerating too strongly or unnecessarily changing lanes when intervening during a CAD system-initiated critical braking maneuver.…”

Section: Introductionmentioning

confidence: 99%

Do you trust me? Driver responses to automated evasive maneuvers

et al. 2023

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An increasing number of Conditionally Automated Driving (CAD) systems are being developed by major automotive manufacturers. In a CAD system, the automated system is in control of the vehicle within its operational design domain. Therefore, in CAD the vehicle is capable of tactical control of the vehicle and needs to be able to maneuver evasively by braking or steering to avoid objects. During these evasive maneuvers, the driver may attempt to take back control of the vehicle by intervening. A driver interrupting a CAD vehicle while properly performing an evasive maneuver presents a potential safety risk. To investigate this issue, 36 participants were recruited to participate in a Wizard-of-Oz research study. The participants experienced one of two evasive maneuvers of moderate intensity on a test track. The evasive maneuver required the CAD system to brake or steer to avoid the box placed in the lane of travel of the test vehicle. Drivers glanced toward the obstacle but did not intervene or prepare to intervene in response to the evasive maneuver. Importantly, the drivers who chose to intervene did so safely. These findings suggest that after experiencing a CAD vehicle for a brief period, most participants trusted the system enough to not intervene during a system-initiated evasive maneuver.

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Driver-initiated take-overs during critical braking maneuvers in automated driving – The role of time headway, traction usage, and trust in automation

Becker

Brandenburg²,

Thüring³

2022

Accident Analysis & Prevention

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What happens when drivers of automated vehicles take over control in critical lane change situations?

Cited by 16 publications

References 13 publications

Lateral Driver‐Automation Driver Authority Decision Considering Safety of the Intended Functionality

Lateral Driver‐Automation Driver Authority Decision Considering Safety of the Intended Functionality

Do you trust me? Driver responses to automated evasive maneuvers

Driver-initiated take-overs during critical braking maneuvers in automated driving – The role of time headway, traction usage, and trust in automation

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