Print Email Facebook Twitter A toolbox for automated driving on the STISIM driving simulator Title A toolbox for automated driving on the STISIM driving simulator Author Eriksson, A. (University of Southampton; Swedish National Road and Transport Research Institute) de Winter, J.C.F. (TU Delft Human-Robot Interaction; TU Delft Biomechatronics & Human-Machine Control) Stanton, Neville A. (University of Southampton) Date 2018 Abstract Driving simulators have been used since the beginning of the 1930s to assist researchers in assessing driver behaviour without putting the driver in harm’s way. The current manuscript describes the implementation of a toolbox for automated driving research on the widely used STISIM platform. The toolbox presented in this manuscript allows researchers to conduct flexible research into automated driving, enabling independent use of longitudinal control, and a combination of longitudinal and lateral control, and is available as an open source download through GitHub. The toolbox allows the driver to adjust parameters such as set speed (in 5 kph increments) and time-headway (in steps of 1, 1.5, and 2 s) as well as automation mode dynamically, while logging additional variables that STISIM does not provide out-of-the-box (time-headway, time to collision). Moreover, the toolbox presented in this manuscript has gone through validation trials showing accurate speed, time-headway, and lane tracking, as well as transitions of control between manual and automated driving. Subject Driving simulatorAutomated drivingToolboxHuman factorsAdaptive cruise controlHighly automated drivingSTISIMOA-Fund TU Delft To reference this document use: http://resolver.tudelft.nl/uuid:088acb19-3218-49f0-a545-ec26aff8d517 DOI https://doi.org/10.1016/j.mex.2018.08.003 Source MethodsX, 5, 1073-1088 Part of collection Institutional Repository Document type journal article Rights © 2018 A. Eriksson, J.C.F. de Winter, Neville A. Stanton Files PDF 1_s2.0_S2215016118301316_main.pdf 1.67 MB Close viewer /islandora/object/uuid:088acb19-3218-49f0-a545-ec26aff8d517/datastream/OBJ/view