Print Email Facebook Twitter Measuring and modeling driver steering behavior Title Measuring and modeling driver steering behavior: From compensatory tracking to curve driving Author van der El, Kasper (TU Delft Control & Simulation) Pool, D.M. (TU Delft Control & Simulation) Mulder, Max (TU Delft Control & Operations) Department Control & Operations Date 2019-02-01 Abstract 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. Subject Compensatory trackingCurve drivingDriver modelingPreviewSystem identification To reference this document use: http://resolver.tudelft.nl/uuid:e4162ff3-dae4-4e6a-a324-4cbd760b4d2e DOI https://doi.org/10.1016/j.trf.2017.09.011 Embargo date 2019-11-01 ISSN 1369-8478 Source Transportation Research. Part F: Traffic Psychology and Behaviour, 61, 337-346 Part of collection Institutional Repository Document type journal article Rights © 2019 Kasper van der El, D.M. Pool, Max Mulder Files PDF TRF_DriverModeling.pdf 476.45 KB Close viewer /islandora/object/uuid:e4162ff3-dae4-4e6a-a324-4cbd760b4d2e/datastream/OBJ/view