Driver Training for Future Automated Vehicles: Introducing CHAT (CHeck, Assess, Takeover)

Shaw, Emily; Large, David; Burnett, Gary

Abstract

Automated vehicles are expected to offer many benefits, including improvements in road safety, increased mobility, enhanced driver comfort, and reductions in road congestion. However, fully automated, autonomous vehicles that require no input from a human driver are not likely to populate our roads in the foreseeable future. In the meantime, there is an expectation that we will see greater availability of vehicles offering lower levels of automated control, or those that possess the ability to operate autonomously in certain situations only (Kyriakidis et al., 2019). So-called partially or conditionally automated vehicles (i.e. those in which aspects of the driving task are shared between the human driver and the vehicle) are likely to retain the form factor of current vehicles, looking the same and providing the same primary input controls (e.g. steering wheel, foot pedals and so on). These new vehicles represent a radical change in ideology, completely redefining the role of, and expectations placed upon, the driver; and yet, there appears to be a tacit assumption that current, passive modes of training will suffice, such as providing a user manual.

Citation

Shaw, E., Large, D., & Burnett, G. (2020). Driver Training for Future Automated Vehicles: Introducing CHAT (CHeck, Assess, Takeover). RAC Foundation

• Report Type: Technical Report
• Acceptance Date: Nov 3, 2020
• Online Publication Date: Nov 3, 2020
• Publication Date: Nov 3, 2020
• Deposit Date: Dec 14, 2020
• Publicly Available Date: Jan 28, 2021
• Pages: 98
• Public URL: https://nottingham-repository.worktribe.com/output/5147168
• Publisher URL: https://www.racfoundation.org/research/safety/driver-training-for-future-automated-vehicles
• Additional Information: November 2020 © Copyright Royal Automobile Club Foundation for Motoring Ltd