Publication detail

Human Driver Performance Assessment based on HiLCPS Concept

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

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"
}