TY - JOUR
T1 - Measuring and modeling driver steering behavior
T2 - From compensatory tracking to curve driving
AU - van der El, Kasper
AU - Pool, Daan M.
AU - Mulder, Max
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Drivers rely on a variety of cues from different modalities while steering, but which exact cues are most important and how these different cues are used is still mostly unclear. The goal of our research project is to increase understanding of driver steering behavior; through a measuring and modeling approach we aim to extend the validity of McRuer et al.'s crossover model for compensatory tracking to curve driving tasks. As part of this larger research project, this paper first analyzes the four main differences between compensatory tracking and curve driving: (1) pursuit and preview, (2) viewing perspective, (3) multiple feedback cues, and (4) boundary-avoidance strategies due to available lane width. Second, this paper introduces multiloop system identification as a method for explicitly disentangling the driver's simultaneous responses to various cues, which is subsequently applied to two sets of human-in-the-loop experimental data from a preview tracking and a curve driving experiment. The results suggest that recent human modeling advances for preview tracking can be extended to curve driving, by including the human's adaptation to viewing perspective, multiple feedback cues, and lane width. Such a model's physically interpretable parameters promise to provide unmatched insights into between-driver steering variations, and facilitate the systematic design of novel individualized driver support systems.
AB - Drivers rely on a variety of cues from different modalities while steering, but which exact cues are most important and how these different cues are used is still mostly unclear. The goal of our research project is to increase understanding of driver steering behavior; through a measuring and modeling approach we aim to extend the validity of McRuer et al.'s crossover model for compensatory tracking to curve driving tasks. As part of this larger research project, this paper first analyzes the four main differences between compensatory tracking and curve driving: (1) pursuit and preview, (2) viewing perspective, (3) multiple feedback cues, and (4) boundary-avoidance strategies due to available lane width. Second, this paper introduces multiloop system identification as a method for explicitly disentangling the driver's simultaneous responses to various cues, which is subsequently applied to two sets of human-in-the-loop experimental data from a preview tracking and a curve driving experiment. The results suggest that recent human modeling advances for preview tracking can be extended to curve driving, by including the human's adaptation to viewing perspective, multiple feedback cues, and lane width. Such a model's physically interpretable parameters promise to provide unmatched insights into between-driver steering variations, and facilitate the systematic design of novel individualized driver support systems.
KW - Compensatory tracking
KW - Curve driving
KW - Driver modeling
KW - Preview
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=85030838563&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:e4162ff3-dae4-4e6a-a324-4cbd760b4d2e
U2 - 10.1016/j.trf.2017.09.011
DO - 10.1016/j.trf.2017.09.011
M3 - Article
AN - SCOPUS:85030838563
SN - 1369-8478
VL - 61
SP - 337
EP - 346
JO - Transportation Research. Part F: Traffic Psychology and Behaviour
JF - Transportation Research. Part F: Traffic Psychology and Behaviour
ER -