Paolo Pretto
ABSTRACT
When drivers approach a potentially critical situation, they tend to glance over drivers of neighboring vehicles to gather a mutual understanding of the respective states and intentions. Then, experienced drivers can take quick decisions and prevent the onset of a danger. Yet, such a safety-effective behavior finds no equals in current automated driving, although the technologies to build a similar solution are already available. Therefore, it is important to investigate the effects of sharing drivers’ state among road users to understand the potential benefit for pre-critical situations. A networked simulators study was performed involving two drivers in a cut-in maneuver. Results indicate that when a driver is notified that the driver in the adjacent vehicle is distracted, the preferred reaction is to change lane, putting more space between the respective vehicles. Such a preventive action should therefore become the target behavior for automated vehicles capable of a human-like driving style.
- P. Pretto, M. Mörtl, N. Neuhuber “Fluid interface concept for automated driving”, in H. Krömker, Ed., MobiTAS 2020: 2 nd International Conference in Mobility, Transport, and Automotive Systems, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Springer International Publishing, 2020.Google Scholar
Digital Library
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- H.-P. Schoener, “How Good is Good Enough?” in Autonomous Driving. Springer, 2019.Google Scholar
- “2018 Automated Driving Tests | Euro NCAP.” https://www.euroncap.com:443/en/vehicle-safety/safety-campaigns/2018-automated-driving-tests/ (accessed Jun. 03, 2020).Google Scholar
- M. Heesen, M. Baumann, J. Kelsch, D. Nause, and M. Friedrich, “Investigation of Cooperative Driving Behaviour during Lane Change in a Multi-Driver Simulation Environment” 2012.Google Scholar
- S. Mattes and A. Hallen, “Surrogate Distraction Measurement Techniques” 2008, pp. 107–122.Google Scholar
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