The influence of motion and steering-system model complexity on truck steering

Conference Paper (2016)
Author(s)

B. Shyrokau (TU Delft - OLD Intelligent Vehicles & Cognitive Robotics)

O. Stroosma (TU Delft - Control & Simulation)

C. Dijksterhuis (TU Delft - OLD Intelligent Vehicles & Cognitive Robotics)

J Loof (Eindhoven University of Technology)

M. M.René van Paassen (TU Delft - Control & Simulation)

R Happee (TU Delft - OLD Intelligent Vehicles & Cognitive Robotics)

Research Group
OLD Intelligent Vehicles & Cognitive Robotics
More Info
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Publication Year
2016
Language
English
Research Group
OLD Intelligent Vehicles & Cognitive Robotics

Abstract

Motion and steering feel contribute to the drivers perception and assessment of vehicle behaviour. Steer-by-wire systems offer the freedom to alter the steering feel characteristics. It is unknown whether the mechanical complexity and non-linearity in mechanical steering systems contribute to the performance and awareness of drivers. This study investigates the influence of driving simulator motion and steering-system model complexity on drivers’ performance and subjective assessment of on-centre handling in a heavy goods vehicle. 32 subjects (12 professional truck drivers and 20 university participants) completed a total of eight short experimental highway rides including merging, while the simulator’s motion system was either turned on or off and the steering system model either resembled a linear or a realistic nonlinear behaviour. The results show that a linear steering system is preferred by the drivers and no performance degradation occurs with the linear system, indicating that for future truck steering systems, a linear haptic feedback may be considered. The presence of motion did not significantly alter this result.

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