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High-level rigorous template for analysing safety properties of self-driving vehicle systems

High-level rigorous template for analysing safety properties of self-driving vehicle systems
High-level rigorous template for analysing safety properties of self-driving vehicle systems
A self-driving vehicle (SDV) brings a novel idea to
the automotive industry as it aims to replace the human driver;
however, the human driver is still involved in the loop of an
SDV’s life cycle. Although the human driver plays a major
role in ensuring the high-level safety property of the system,
incorrect interactions between a human driver and an SDV
might lead to a serious accident. Our paper aims to develop a
rigorous analysis template that emphasises the system component interactions between an SDV and a human driver, especially if the SDV assumes the human driver to be a fallback option for dealing with hazardous events. Our approach combine Systems-Theoretic Processes Analysis (STPA) in order to identify the high-level safety requirements, and the Event-B formal method to provide the assurance about the consistency of the safety requirements obtained from STPA.
STPA, Event-B, SDV, Automated lane centering, Driver monitoring system
Alotaibi, Fahad, Abduallah
3606f09d-b071-47de-b0c2-f9784f7b1abd
Hoang, Thai Son
dcc0431d-2847-4e1d-9a85-54e4d6bab43f
Butler, Michael
54b9c2c7-2574-438e-9a36-6842a3d53ed0
Alotaibi, Fahad, Abduallah
3606f09d-b071-47de-b0c2-f9784f7b1abd
Hoang, Thai Son
dcc0431d-2847-4e1d-9a85-54e4d6bab43f
Butler, Michael
54b9c2c7-2574-438e-9a36-6842a3d53ed0

Alotaibi, Fahad, Abduallah, Hoang, Thai Son and Butler, Michael (2022) High-level rigorous template for analysing safety properties of self-driving vehicle systems. In COMPSAC 2022. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

A self-driving vehicle (SDV) brings a novel idea to
the automotive industry as it aims to replace the human driver;
however, the human driver is still involved in the loop of an
SDV’s life cycle. Although the human driver plays a major
role in ensuring the high-level safety property of the system,
incorrect interactions between a human driver and an SDV
might lead to a serious accident. Our paper aims to develop a
rigorous analysis template that emphasises the system component interactions between an SDV and a human driver, especially if the SDV assumes the human driver to be a fallback option for dealing with hazardous events. Our approach combine Systems-Theoretic Processes Analysis (STPA) in order to identify the high-level safety requirements, and the Event-B formal method to provide the assurance about the consistency of the safety requirements obtained from STPA.

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More information

Accepted/In Press date: 10 May 2022
Venue - Dates: 6th IEEE Workshop on Software Engineering for Smart Systems, , Torino, Italy, 2022-06-27 - 2022-07-01
Keywords: STPA, Event-B, SDV, Automated lane centering, Driver monitoring system

Identifiers

Local EPrints ID: 457710
URI: http://eprints.soton.ac.uk/id/eprint/457710
PURE UUID: 2e91d5f4-f66b-4780-bc86-d4dce974d544
ORCID for Thai Son Hoang: ORCID iD orcid.org/0000-0003-4095-0732
ORCID for Michael Butler: ORCID iD orcid.org/0000-0003-4642-5373

Catalogue record

Date deposited: 16 Jun 2022 00:16
Last modified: 16 Jun 2022 01:45

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Contributors

Author: Fahad, Abduallah Alotaibi
Author: Thai Son Hoang ORCID iD
Author: Michael Butler ORCID iD

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