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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the 2016 Driving Simulation Conference Europe
Place of PublicationParis, France
PublisherDriving Simulation Association (DSA)
Number of pages8
Publication statusPublished - 2016
EventDriving Simulation Conference Europe 2016 - Paris, France
Duration: 7 Sept 20169 Sept 2016

Conference

ConferenceDriving Simulation Conference Europe 2016
Abbreviated titleDSC 2016 Europe
Country/TerritoryFrance
CityParis
Period7/09/169/09/16

Keywords

  • cabin motion
  • steering model
  • subjective assessment
  • on-centre handling
  • driving simulator

Fingerprint

Dive into the research topics of 'The influence of motion and steering-system model complexity on truck steering'. Together they form a unique fingerprint.

Cite this