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Methods for designing future autonomous systems (MODAS) Krupenia, Stas

By: Publication details: Stockholm Fordonsstrategisk Forskning och Innovation [FFI], 2015Description: 14 sSubject(s): Online resources: Abstract: Within the MODAS project, a design method for future cab design was developed and implemented. This method supports the design of next generation truck cabs that include advanced automated technologies. These automation technologies induce a paradigm shift in the driver-vehicle relationship. The design method built upon the Goals (Mental) Models, Observability, Controllability (GMOC) model and was implemented to create a novel driver environment for supervising and controlling a highly autonomous truck. The driver environment was integrated into Scania’s truck simulator and was assessed with a novel assessment technique. Four simulator scenarios were created and the MODAS interfaces were integrated such that drivers could experience different future traffic scenarios using the novel supervision and control interfaces. The driver environment included a Head Up Display, a novel Instrument Cluster, a 3D audio display, and a mobile tablet device. All interfaces were developed and assessed through thorough an empirical approach involving consultation with professional drivers and senior engineers. As part of the development work, 21 data collection activities were conducted (e.g. workshops, observations, simulator studies) involving 158 consultations with professional truck drivers, and an additional 50 consultations with expert engineers or other participants. The project and its results have received much positive attention in Sweden and around the world.
Item type: Reports, conferences, monographs
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Within the MODAS project, a design method for future cab design was developed and implemented. This method supports the design of next generation truck cabs that include advanced automated technologies. These automation technologies induce a paradigm shift in the driver-vehicle relationship. The design method built upon the Goals (Mental) Models, Observability, Controllability (GMOC) model and was implemented to create a novel driver environment for supervising and controlling a highly autonomous truck. The driver environment was integrated into Scania’s truck simulator and was assessed with a novel assessment technique. Four simulator scenarios were created and the MODAS interfaces were integrated such that drivers could experience different future traffic scenarios using the novel supervision and control interfaces. The driver environment included a Head Up Display, a novel Instrument Cluster, a 3D audio display, and a mobile tablet device. All interfaces were developed and assessed through thorough an empirical approach involving consultation with professional drivers and senior engineers. As part of the development work, 21 data collection activities were conducted (e.g. workshops, observations, simulator studies) involving 158 consultations with professional truck drivers, and an additional 50 consultations with expert engineers or other participants. The project and its results have received much positive attention in Sweden and around the world.