Towards probabilistic analysis of human-system integration in automated driving

Ephraim Suhir; Gunther Paul; Hermann Kaindl

doi:10.1007/978-3-030-39512-4_2

Towards probabilistic analysis of human-system integration in automated driving

Ephraim Suhir^*, Gunther Paul, Hermann Kaindl

^*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

According to the Automated Driving Roadmap ERTRAC 17, only vehicles of Level 5 may not need human interference. The current adaptive cruise control system or more advanced automated driving solutions below Level 5 require, therefore, that a human driver takes over, if an extraordinary situation occurs. A critical safety problem may be caused by the very short time span available to the driver. It has been recently demonstrated, mostly in application to the aerospace domain, how probabilistic analytical modeling (PAM) could effectively complement computational simulation techniques in various human-in-the-loop (HITL) related missions and off-normal situations, when the reliability of the equipment (instrumentation), both hard- and software, and the performance of the human contribute jointly to their likely outcome. Our objective is to extend this approach, with appropriate modifications, to safety analyses of automated driving applications.

Originalsprache	Englisch
Titel des Sammelwerks	Intelligent Human Systems Integration
Untertitel des Sammelwerks	Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems
Herausgeber*innen	Tareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
Erscheinungsort	Cham
Verlag	Springer
Seiten	9-14
Seitenumfang	6
ISBN (elektronisch)	978-3-030-39512-4
ISBN (Print)	978-3-030-39511-7
DOIs	https://doi.org/10.1007/978-3-030-39512-4_2
Publikationsstatus	Veröffentlicht - 2020
Extern publiziert	Ja
Veranstaltung	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italien Dauer: 19 Feb. 2020 → 21 Feb. 2020

Publikationsreihe

Reihe	Advances in Intelligent Systems and Computing
Band	1131
ISSN	2194-5357

Konferenz

Konferenz	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
Land/Gebiet	Italien
Ort	Modena
Zeitraum	19/02/20 → 21/02/20

Bibliographische Notiz

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Zugriff auf Dokument

10.1007/978-3-030-39512-4_2

Verfügbarkeit prüfen

Katalog der Universitätsbibliothek

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Zitat

Suhir, E., Paul, G., & Kaindl, H. (2020). Towards probabilistic analysis of human-system integration in automated driving. in T. Ahram, W. Karwowski, A. Vergnano, F. Leali, & R. Taiar (Hrsg.), Intelligent Human Systems Integration: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems (S. 9-14). Springer. https://doi.org/10.1007/978-3-030-39512-4_2

Suhir, Ephraim ; Paul, Gunther ; Kaindl, Hermann. / Towards probabilistic analysis of human-system integration in automated driving. Intelligent Human Systems Integration: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems. Hrsg. / Tareq Ahram ; Waldemar Karwowski ; Alberto Vergnano ; Francesco Leali ; Redha Taiar. Cham : Springer, 2020. S. 9-14 (Advances in Intelligent Systems and Computing, Band 1131).

@inproceedings{1e54003cbbfc46b9950175a0b7e162f6,

title = "Towards probabilistic analysis of human-system integration in automated driving",

abstract = "According to the Automated Driving Roadmap ERTRAC 17, only vehicles of Level 5 may not need human interference. The current adaptive cruise control system or more advanced automated driving solutions below Level 5 require, therefore, that a human driver takes over, if an extraordinary situation occurs. A critical safety problem may be caused by the very short time span available to the driver. It has been recently demonstrated, mostly in application to the aerospace domain, how probabilistic analytical modeling (PAM) could effectively complement computational simulation techniques in various human-in-the-loop (HITL) related missions and off-normal situations, when the reliability of the equipment (instrumentation), both hard- and software, and the performance of the human contribute jointly to their likely outcome. Our objective is to extend this approach, with appropriate modifications, to safety analyses of automated driving applications.",

keywords = "Automated driving, Human factors, Human-systems integration",

author = "Ephraim Suhir and Gunther Paul and Hermann Kaindl",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 ; Conference date: 19-02-2020 Through 21-02-2020",

year = "2020",

doi = "10.1007/978-3-030-39512-4_2",

language = "English",

isbn = "978-3-030-39511-7",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "9--14",

editor = "Tareq Ahram and Waldemar Karwowski and Alberto Vergnano and Francesco Leali and Redha Taiar",

booktitle = "Intelligent Human Systems Integration",

address = "Germany",

}

Suhir, E, Paul, G & Kaindl, H 2020, Towards probabilistic analysis of human-system integration in automated driving. in T Ahram, W Karwowski, A Vergnano, F Leali & R Taiar (Hrsg.), Intelligent Human Systems Integration: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems. Springer, Cham, Advances in Intelligent Systems and Computing, Bd. 1131, S. 9-14, 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020, Modena, Italien, 19/02/20. https://doi.org/10.1007/978-3-030-39512-4_2

Towards probabilistic analysis of human-system integration in automated driving. / Suhir, Ephraim; Paul, Gunther; Kaindl, Hermann.
Intelligent Human Systems Integration: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems. Hrsg. / Tareq Ahram; Waldemar Karwowski; Alberto Vergnano; Francesco Leali; Redha Taiar. Cham: Springer, 2020. S. 9-14 (Advances in Intelligent Systems and Computing, Band 1131).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Towards probabilistic analysis of human-system integration in automated driving

AU - Suhir, Ephraim

AU - Paul, Gunther

AU - Kaindl, Hermann

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - According to the Automated Driving Roadmap ERTRAC 17, only vehicles of Level 5 may not need human interference. The current adaptive cruise control system or more advanced automated driving solutions below Level 5 require, therefore, that a human driver takes over, if an extraordinary situation occurs. A critical safety problem may be caused by the very short time span available to the driver. It has been recently demonstrated, mostly in application to the aerospace domain, how probabilistic analytical modeling (PAM) could effectively complement computational simulation techniques in various human-in-the-loop (HITL) related missions and off-normal situations, when the reliability of the equipment (instrumentation), both hard- and software, and the performance of the human contribute jointly to their likely outcome. Our objective is to extend this approach, with appropriate modifications, to safety analyses of automated driving applications.

AB - According to the Automated Driving Roadmap ERTRAC 17, only vehicles of Level 5 may not need human interference. The current adaptive cruise control system or more advanced automated driving solutions below Level 5 require, therefore, that a human driver takes over, if an extraordinary situation occurs. A critical safety problem may be caused by the very short time span available to the driver. It has been recently demonstrated, mostly in application to the aerospace domain, how probabilistic analytical modeling (PAM) could effectively complement computational simulation techniques in various human-in-the-loop (HITL) related missions and off-normal situations, when the reliability of the equipment (instrumentation), both hard- and software, and the performance of the human contribute jointly to their likely outcome. Our objective is to extend this approach, with appropriate modifications, to safety analyses of automated driving applications.

KW - Automated driving

KW - Human factors

KW - Human-systems integration

UR - http://www.scopus.com/inward/record.url?scp=85081906452&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-39512-4_2

DO - 10.1007/978-3-030-39512-4_2

M3 - Contribution to conference proceedings

AN - SCOPUS:85081906452

SN - 978-3-030-39511-7

T3 - Advances in Intelligent Systems and Computing

SP - 9

EP - 14

BT - Intelligent Human Systems Integration

A2 - Ahram, Tareq

A2 - Karwowski, Waldemar

A2 - Vergnano, Alberto

A2 - Leali, Francesco

A2 - Taiar, Redha

PB - Springer

CY - Cham

T2 - 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020

Y2 - 19 February 2020 through 21 February 2020

ER -

Suhir E, Paul G, Kaindl H. Towards probabilistic analysis of human-system integration in automated driving. in Ahram T, Karwowski W, Vergnano A, Leali F, Taiar R, Hrsg., Intelligent Human Systems Integration: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems. Cham: Springer. 2020. S. 9-14. (Advances in Intelligent Systems and Computing, Band 1131). doi: 10.1007/978-3-030-39512-4_2