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Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study.

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Shared control algorithms enhance automated vehicle safety by assisting drivers in critical situations. This study confirms their effectiveness and user acceptance, even with distracted drivers, paving the way for real-world integration.

Keywords:
automated drivingdriver-automation cooperationsafetyshared controlsimulator-based studyuser acceptance

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Area of Science:

  • Human-computer interaction
  • Automated driving systems
  • Vehicle dynamics and control

Background:

  • Shared control algorithms facilitate real-time cooperation between human drivers and automated systems in vehicles.
  • While theoretical benefits are known, real-world demonstrations of effectiveness and user acceptance are crucial due to human involvement in the control loop.

Purpose of the Study:

  • To evaluate a shared control algorithm's performance, safety, and user acceptance in a critical lateral maneuver simulation.
  • To assess the algorithm's ability to assist in avoiding an oncoming motorcycle lane intrusion.
  • To analyze the impact of different assistance levels and driver states (focused vs. distracted) on the shared control system.

Main Methods:

  • A simulator-based study was conducted to evaluate a shared control algorithm.
  • Objective measures (collision avoidance, lane departure prevention) and subjective measures (driver safety, comfort) were collected.
  • Three assistance levels (gentle, intermediate, aggressive) and two driver states (focused, distracted) were tested.

Main Results:

  • The shared control algorithm demonstrated effectiveness in assisting drivers during a critical lane-intruding motorcycle scenario.
  • Objective performance metrics indicated successful collision avoidance and lane maintenance.
  • Subjective feedback suggested varying levels of user acceptance and comfort depending on assistance intensity and driver state.

Conclusions:

  • Shared control algorithms show significant promise for enhancing safety in automated vehicles.
  • The study provides empirical evidence supporting the effectiveness and user acceptance of shared control in critical scenarios.
  • Findings inform the development and implementation of shared control systems for future automated vehicles.