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Variable Trust Control Setting for Autonomous Vehicle Highway Navigation and Improved User Experience.

James E Pickering1, Jisun Kim1, Joshua D'Souza1

  • 1Aston University, Birmingham, B4 7ET UK.

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Summary

This study introduces a variable trust control setting (TCS) for autonomous vehicles (AVs) to improve user confidence and acceptance. The system uses virtual boundaries (VBs) to ensure safe manoeuvring and enhance comfort during highway driving.

Keywords:
Autonomous vehicles (AVs)Control engineeringModel-predictive control (MPC)Navigation algorithmsVariable trust control setting (TCS)Vehicle safety

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Area of Science:

  • Robotics and Control Systems
  • Human-Computer Interaction
  • Transportation Engineering

Background:

  • Autonomous vehicles (AVs) require enhanced user trust and acceptance for widespread adoption.
  • Ensuring safe and comfortable manoeuvrability, especially during complex interactions, is critical for AV technology.
  • Existing control systems often lack mechanisms for user-perceived control, hindering acceptance.

Purpose of the Study:

  • To develop and evaluate a model-based design approach for enhancing the acceptance of safe manoeuvrability in autonomous vehicles (AVs) on highways.
  • To introduce a variable trust control setting (TCS) that allows users to feel in control, thereby increasing confidence and acceptance.
  • To investigate the impact of virtual boundaries (VBs) and steering limitations on AV safety and comfort during overtaking manoeuvres.

Main Methods:

  • Development of a variable trust control setting (TCS) grounded in deontological ethics, utilizing virtual boundaries (VBs) for driving decisions.
  • Simulation of AVs using a dynamic bicycle model controlled by an adaptive model-predictive control (MPC) algorithm.
  • Creation of a novel simulation package to quantify safety metrics for AV interactions and analyze the influence of TCS, VBs, and steering limitations.

Main Results:

  • The proposed variable TCS, utilizing VBs, effectively guides AV driving decisions and enhances safety during interactions.
  • Simulations demonstrated that VBs and steering limitations significantly influence the safety and comfort of AVs during overtaking.
  • The model-based approach proved effective in allowing users to actively manage AV safety and comfort.

Conclusions:

  • The variable trust control setting (TCS) is a promising approach to increase user confidence and acceptance of autonomous vehicles.
  • Virtual boundaries (VBs) serve as an effective mechanism for ensuring safe and comfortable AV operations, particularly in complex scenarios like overtaking.
  • This model-based design approach offers a pathway for developing more user-centric and trustworthy autonomous driving systems.