An optimal model parameter selection algorithm has been employed in the fitting of linear driver models to a range of experimentally recorded driving data. The driving tasks analyzed were performed in a driving simulator and consisted of lane tracking and obstacle avoidance. It is shown that appreciable differences in driver model performance can result from selecting either an open-loop or a closed-loop analysis framework. The effects of averaging the experimental data before processing are also highlighted with specific examples.
The Fitting of Linear Models to Driver Response Records
Sae Technical Papers
SAE International Congress and Exposition ; 1982
1982-02-01
Conference paper
English
The Fitting of Linear Models to Driver Response Records
Automotive engineering | 1982
|The fitting of linear models to driver response records
Tema Archive | 1982
|Engineering Index Backfile | 1913
Former director fined £300,000 for falsifying driver records.
Online Contents | 2013