Human factors of automated driving systems: a compendium of lessons learned

On-road deployment of partial automation and testing of vehicles with higher levels of automated driving systems have been ongoing for several years. Recent research partly confirms what the authors already knew about user interaction with automation in aviation, and, interestingly, adds relevant information to the authors' understanding of human operators' adoption of vehicle technology. In this study, the authors review key studies from the last quinquennial on driver interaction with partial and higher levels of automation, with the goal of providing a compendium for transportation professionals and legislators. In addition to providing a brief but necessary introduction of the Society of Automotive Engineers Taxonomy, the authors address research findings and human factors safety takeaways for partial automation. The authors' review shows that driver underload, lacking mental models, and driver training are key issues that merit further human factors investigation. In the latter part of the compendium, the authors also discuss recent findings and policy considerations on higher levels of automated driving systems. These include developing more transparent and comprehensive ways of reporting incidents and system disengagements, having protocols that help minimise safety risks during transitions of control, and implementing validation methods that help mitigate the safety risks of automated systems.

Language

  • English

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Filing Info

  • Accession Number: 01784224
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 6 2021 9:40AM