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JIRGL, M. FIEDLER, P. BRADÁČ, Z.
Original Title
Human Driver Performance Assessment based on HiLCPS Concept
Type
conference paper
Language
English
Original Abstract
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.
Keywords
HiLCPS, HMI ,HCI ,human behavior ,human control model, driver performance
Authors
JIRGL, M.; FIEDLER, P.; BRADÁČ, Z.
Released
17. 5. 2022
Publisher
Elsevier
ISBN
2405-8963
Periodical
IFAC-PapersOnLine (ELSEVIER)
Year of study
55
Number
4
State
Kingdom of the Netherlands
Pages from
345
Pages to
350
Pages count
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" }