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1.
  • Diederichs, Frederik, et al. (författare)
  • Adaptive transitions for automation in cars, trucks, buses and motorcycles
  • 2020
  • Ingår i: IET Intelligent Transport Systems. - : INST ENGINEERING TECHNOLOGY-IET. - 1751-956X .- 1751-9578. ; 14:8, s. 889-899
  • Tidskriftsartikel (refereegranskat)abstract
    • Automated vehicles are entering the roads and automation is applied to cars, trucks, buses, and even motorcycles today. High automation foresees transitions during driving in both directions. The driver and rider state become a critical parameter since reliable automation allows safe intervention and transit control to the automation when manual driving is not performed safely anymore. When the control transits from automation to manual an appropriate driver state needs to be identified before releasing the automated control. The detection of driver states during manual and automated driving and an appropriate design of the human-machine interaction (HMI) are crucial steps to support these transitions. State-of-the-art systems do not take the driver state, personal preferences, and predictions of road conditions into account. The ADAS&ME project, funded by the H2020 Programme of the European Commission, proposes an innovative and fully adaptive HMI framework, able to support driver/rider state monitoring-based transitions in automated driving. The HMI framework is applied in the target vehicles: passenger car, truck, bus, and motorcycle, and in seven different use cases.
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2.
  • Mathis, Lesley-Ann, et al. (författare)
  • Creating informed public acceptance by a user-centered human-machine interface for all automated transport modes
  • 2020
  • Ingår i: Proceedings of 8th Transport Research Arena TRA 2020. ; , s. 9-
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Increasing automation is ongoing in all areas of transport. This raises new challenges for the design and training of Human-Machine Interfaces (HMI) for different user groups. The EU-project Drive2theFuture investigates the needs and wants of transportation users, operators, passengers and passersby to gain their acceptance and to set the ground for a sustainable market introduction of automated transport. This paper describes how HMI concepts for the transport modes road, rail, maritime and aviation in Drive2theFuture are developed and comparatively assessed in order to be able to support an educated use of automated transport. By relying on a stepwise process, adaptable HMI strategies for different user clusters and levels of automation are defined. As a universal method, a comprehensive HMI development toolkit is developed, which can be adopted as training tool to create realistic expectations and enhance acceptance among users, operators and drivers in light of the deployment of automated vehicles.
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