Haptic lane-keeping assistance for truck driving

Haptic lane-keeping assistance for truck driving: A test track study

Roozendaal, Jeroen (Student TU Delft)
Johansson, Emma (Volvo)
de Winter, J.C.F. (TU Delft Human-Robot Interaction)
Abbink, D.A. (TU Delft Human-Robot Interaction)
Petermeijer, S.M. (TU Delft Human-Robot Interaction)

2020

Objective: This study aims to compare the effectiveness and subjective acceptance of three designs for haptic lane-keeping assistance in truck driving. Background: Haptic lane-keeping assistance provides steering torques toward a reference trajectory, either continuously or only when exceeding a bandwidth. These approaches have been previously investigated in driving simulators, but it is unclear how these generalize toward real-life truck driving. Method: Three haptic lane-keeping algorithms to assist truck drivers were evaluated on a 6.3-km-long oval-shaped test track: (1) a single-bandwidth (SB) algorithm, which activated assistance torques when the predicted lateral deviation from lane center exceeded 0.4 m; (2) a double-bandwidth (DB) algorithm, which activated as SB, but deactivated after returning within 0.15 m lateral deviation; and (3) an algorithm providing assistance torques continuously (Cont) toward the lane center. Fifteen participants drove four trials each, one trial without and one for each haptic assistance design. Furthermore, participants drove with and without a concurrent visually distracting task. Results: Compared to unsupported driving, all three assistance systems provided similar safety benefits in terms of decreased absolute lateral position and number of lane departures. Participants reported higher satisfaction and usability for Cont compared to SB. Conclusion: The continuous assistance was better accepted than bandwidth assistance, a finding consistent with prior driving simulator research. Research is still needed to investigate the long-term effects of haptic assistance on reliance and after-effects. Application: The present results are useful for designers of haptic lane-keeping assistance, as driver acceptance and performance are determinants of reliance and safety, respectively.

driver acceptance
driver distraction
haptic shared control
lane keeping
truck driving

http://resolver.tudelft.nl/uuid:e78729b3-def0-4324-ba6b-315d553a4e25

https://doi.org/10.1177/0018720820928622

0018-7208

Human Factors: the journal of the human factors and ergonomics society, 63 (2021) (8), 1380-1395

Institutional Repository

journal article

© 2020 Jeroen Roozendaal, Emma Johansson, J.C.F. de Winter, D.A. Abbink, S.M. Petermeijer