A Simple State-Space Model of Human Driver Applicable to Windy Conditions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151765" target="_blank" >RIV/00216305:26220/24:PU151765 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2405896324004907" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896324004907</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2024.07.401" target="_blank" >10.1016/j.ifacol.2024.07.401</a>
Alternative languages
Result language
angličtina
Original language name
A Simple State-Space Model of Human Driver Applicable to Windy Conditions
Original language description
The paper is concerned with the design, verification and evaluation of a car-driving test scenario for human driver assessment. The scenario implemented in Unreal Engine adds four different wind characteristics which disturb the motion of a simulated vehicle. Besides, the driver is instructed to change the driving lane at defined intervals. These forcing functions enable the identification of the human-machine loop using state-space models. The parameters characterising the human dynamics are extracted from the model of the whole loop. As opposed to rather obsolete McRuer models, this approach follows the recent trends in the modelling of human-machine systems as multiloop systems or quadratically optimal controllers. Our results suggest that the model relying on a single transfer function with 4 parameters loses prediction capabilities during more realistic scenarios, in which random disturbances, such as wind gusts, affect the vehicle. In such cases, the multiloop model with the same number of parameters is able to capture human behaviour more accurately than McRuer model.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
18th IFAC Conference on Programmable Devices and Embedded Systems – PDeS 2024.
ISBN
—
ISSN
2405-8963
e-ISSN
—
Number of pages
6
Pages from-to
229-234
Publisher name
Elsevier
Place of publication
neuveden
Event location
Brno
Event date
Jun 19, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—