University of Cambridge > Talks.cam > Engineering - Dynamics and Vibration Tea Time Talks > Driver Learning and Control Styles over Randomly Curving Paths

Driver Learning and Control Styles over Randomly Curving Paths

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Understanding of human driver behaviour is very important to the development of vehicles, and a better understanding can enable manufacturers to achieve better results from simulated testing prior to more costly human-in-the-loop simulator and prototype testing. To validate our driver model an experiment was run which will be described in this talk. The experiment was run at a moving base driving simulator and observed participants’ driving behaviour while steering a vehicle along curving paths over a number of runs. Observed behaviours are outlined. The impact of these observations on the driver model design will be considered.

This talk is part of the Engineering - Dynamics and Vibration Tea Time Talks series.

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