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Detail publikace
JIRGL, M. FIEDLER, P. BRADÁČ, Z.
Originální název
Human Driver Performance Assessment based on HiLCPS Concept
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper presents an approach for human driver performance assessment from the view of his/her abilities or limitations. The idea is based on the Human-in-the-loop Cyber-Physical Systems (HiLCPS) concept which is briefly described in the initial part of this paper. A cybernetic approach describing a human driver as a controller in cooperation with a controlled system represented by a simulated driving task is there used. In this context, a car-driving simulator based on Unreal Engine 4 was developed. A human driver controls a simulated drive via an input HCI (Human-Computer Interface) device, i.e., a joystick or a steering wheel with pedals, exploiting the perception of the current situation in the visualized scene. That simple HiLCPS system provides data representing human behavior during a specific task under defined conditions. Based on the acquired data we are able to identify the behavioral model as well as other quantities characterizing the attitude to control. These parameters then serve for describing a current state of a human driver and his/her performance which is demonstrated in the last section.
Klíčová slova
HiLCPS, HMI ,HCI ,human behavior ,human control model, driver performance
Autoři
JIRGL, M.; FIEDLER, P.; BRADÁČ, Z.
Vydáno
17. 5. 2022
Nakladatel
Elsevier
ISSN
2405-8963
Periodikum
IFAC-PapersOnLine (ELSEVIER)
Ročník
55
Číslo
4
Stát
Nizozemsko
Strany od
345
Strany do
350
Strany počet
6
URL
https://www.sciencedirect.com/science/article/pii/S240589632200372X?via%3Dihub
BibTex
@inproceedings{BUT178890, author="Miroslav {Jirgl} and Petr {Fiedler} and Zdeněk {Bradáč}", title="Human Driver Performance Assessment based on HiLCPS Concept", booktitle="Proceedings on 17th IFAC Conference on Programmable Devices and Embedded Systems (PDES)", year="2022", journal="IFAC-PapersOnLine (ELSEVIER)", volume="55", number="4", pages="345--350", publisher="Elsevier", doi="10.1016/j.ifacol.2022.06.057", issn="2405-8963", url="https://www.sciencedirect.com/science/article/pii/S240589632200372X?via%3Dihub" }