Print Email Facebook Twitter Approximating Road Geometry with Multisine Signals for Driver Identification Title Approximating Road Geometry with Multisine Signals for Driver Identification Author Kolff, M.J.C. (TU Delft Control & Simulation) van der El, Kasper (TU Delft Control & Simulation) Pool, D.M. (TU Delft Control & Simulation) van Paassen, M.M. (TU Delft Control & Simulation) Mulder, Max (TU Delft Control & Simulation) Date 2019 Abstract The understanding of human responses to visual information in car driving tasks requires the use of system identification tools that put constraints on the design of data collection experiments. Most importantly, multisine perturbation signals are required, including a multisine road geometry, to separately identify the different driver steering responses in the frequency domain. It is as of yet unclear, however, to what extent drivers steer differently along such multisine roads than they do for real roads. This paper presents a method for approximating real-world road geometries with multisine signals, and applies it to a stretch of road used in an earlier investigation into driver steering. In addition, a human-in-the-loop experiment is performed to collect driver steering data for both the realistic real-world road and its multisine approximation. Overall, the analysis of driver performance metrics and driver identification data shows that drivers adopt equivalent control behaviour when steering along both roads. Hence, the use of such multisine approximations allows for the realization of realistic roads and driver behaviour in car driving experiments, in addition to supporting the application of quantitative driver identification techniques for data analysis. Subject driver modelingdrivingmanual controlmultisine signalssystem identification To reference this document use: http://resolver.tudelft.nl/uuid:35031007-6861-41f2-acc4-c8d326ffe483 DOI https://doi.org/10.1016/j.ifacol.2019.12.082 Source IFAC-PapersOnLine, 52 (19), 341-346 Event 14th IFAC Symposium on Analysis, Design, and Evaluation of Human Machine Systems, HMS 2019, 2019-09-16 → 2019-09-19, Tallinn, Estonia Part of collection Institutional Repository Document type journal article Rights © 2019 M.J.C. Kolff, Kasper van der El, D.M. Pool, M.M. van Paassen, Max Mulder Files PDF 1_s2.0_S2405896319319159_main.pdf 1.36 MB Close viewer /islandora/object/uuid:35031007-6861-41f2-acc4-c8d326ffe483/datastream/OBJ/view