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

^*Corresponding author for this work

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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.

Original language	English
Title of host publication	Intelligent Human Systems Integration
Subtitle of host publication	Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems
Editors	Tareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
Place of Publication	Cham
Publisher	Springer
Pages	9-14
Number of pages	6
ISBN (Electronic)	978-3-030-39512-4
ISBN (Print)	978-3-030-39511-7
DOIs	https://doi.org/10.1007/978-3-030-39512-4_2
Publication status	Published - 2020
Externally published	Yes
Event	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italy Duration: 19 Feb 2020 → 21 Feb 2020

Publication series

Series	Advances in Intelligent Systems and Computing
Volume	1131
ISSN	2194-5357

Conference

Conference	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
Country/Territory	Italy
City	Modena
Period	19/02/20 → 21/02/20

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Keywords

Automated driving
Human factors
Human-systems integration

Access to Document

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

Cite this

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 (Eds.), Intelligent Human Systems Integration: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems (pp. 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. editor / Tareq Ahram ; Waldemar Karwowski ; Alberto Vergnano ; Francesco Leali ; Redha Taiar. Cham : Springer, 2020. pp. 9-14 (Advances in Intelligent Systems and Computing, Vol. 1131).

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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",

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year = "2020",

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

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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 (eds), 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, vol. 1131, pp. 9-14, 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020, Modena, Italy, 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. ed. / Tareq Ahram; Waldemar Karwowski; Alberto Vergnano; Francesco Leali; Redha Taiar. Cham: Springer, 2020. p. 9-14 (Advances in Intelligent Systems and Computing, Vol. 1131).

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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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.

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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, editors, 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. p. 9-14. (Advances in Intelligent Systems and Computing, Vol. 1131). doi: 10.1007/978-3-030-39512-4_2

Towards probabilistic analysis of human-system integration in automated driving

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this