Methodology for finding parameters related to path tracking skill applied on a DLC test in a moving base driving simulator
by Andreas Erséus; Annika Stensson Trigell; Lars Drugge
International Journal of Vehicle Autonomous Systems (IJVAS), Vol. 11, No. 1, 2013

Abstract: The objective of this research is to develop and assess a method that can evaluate the relation of the driver's path tracking skill to a large number of vehicle parameters. The proposed methodology for comparison of measures under equal conditions is applied on test data from a double lane change test in a moving base simulator. Several measures are found to separate the recruited high and low skill driver groups, with the best results for the second part of the manoeuvre. Standard deviation qualifies for successful driver skill categorisation using commonly sampled data, e.g., steering wheel rate and angular acceleration.

Online publication date: Tue, 30-Sep-2014

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