In the design of autonomous systems, seamless integration with human operators is crucial, particularly when humans are considered as a fail-safe for intervening in hazardous situations. This study presents an Event-B intervention timing pattern designed to include human drivers’ responses when they act as fallback mechanisms in Self-Driving Vehicle (SDV) systems. The proposed pattern outlines specific timings for driver interventions following alerts from SDVs, offering a clear set of expectations and conditions for human drivers during these critical takeover instances. The usability of this pattern is demonstrated through a case study, highlighting its importance for situations that require interventions. Ultimately, it sheds light on the operational aspects of SDVs, ensuring a safe and orderly transition from automated to manual control.
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% BibTex
@inproceedings{AlotaibiHFB24,
author = {Fahad Alotaibi and
Thai Son Hoang and
Asieh Salehi Fathabadi and
Michael J. Butler},
editor = {Silvia Bonfanti and
Angelo Gargantini and
Michael Leuschel and
Elvinia Riccobene and
Patrizia Scandurra},
title = {Event-B Development of Modelling Human Intervention Request in Self-driving
Vehicle Systems},
booktitle = {Rigorous State-Based Methods - 10th International Conference, {ABZ}
2024, Bergamo, Italy, June 25-28, 2024, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {14759},
pages = {43--60},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-63790-2\_3},
doi = {10.1007/978-3-031-63790-2\_3},
timestamp = {Thu, 04 Jul 2024 22:05:23 +0200},
biburl = {https://dblp.org/rec/conf/zum/AlotaibiHFB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}