Abstract
Automation in the road transport system is coming faster than expected being influencing and shaping the future of mobility. However, very few is known about the impact of automatic driving on traffic and how drivers will accept, use, trust and interact in traffic when driving a vehicle with a certain level of automation. Additionally, most of the potential users have unrealistic representations of autonomous vehicles, the driver’s role in automation or the impacts of full automation on the road transport system. Aiming at better understanding the drivers’ behavior when dealing with automated driving, this paper addresses the following issues based on a state of the art on automated driving: drivers’ preferences for the automation levels across different categories of drivers; limits of the technology; needs for changes in traffic laws, as well as licensing and training; driver’s promptness to resume the vehicle control following a long period of autonomous driving.
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Notes
- 1.
AV obtain the perception of external environment through laser navigation (e.g. LiDAR sensors - “Light Detection And Ranging”), visual navigation (e.g. for traffic sign recognition) and radar navigation (e.g. for distances perception) [17].
- 2.
According to the levels of automation defined by Society of Automotive Engineers (SAE) [4].
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Acknowledgments
This research was developed under Project No. POCI-01-0145-FEDER-02852, co-financed by COMPETE 2020, Portugal 2020 and the European Union through the ERDF, and by FCT through national funds.
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Simões, A. et al. (2020). The User and the Automated Driving: A State-of-the-Art. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_17
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