A Framework for Analysing Driver Interactions with Semi-Autonomous Vehicles

Siraj Shaikh
(Coventry University)
Padmanabhan Krishnan
(Bond University)

Semi-autonomous vehicles are increasingly serving critical functions in various settings from mining to logistics to defence. A key characteristic of such systems is the presence of the human (drivers) in the control loop. To ensure safety, both the driver needs to be aware of the autonomous aspects of the vehicle and the automated features of the vehicle built to enable safer control. In this paper we propose a framework to combine empirical models describing human behaviour with the environment and system models. We then analyse, via model checking, interaction between the models for desired safety properties. The aim is to analyse the design for safe vehicle-driver interaction. We demonstrate the applicability of our approach using a case study involving semi-autonomous vehicles where the driver fatigue are factors critical to a safe journey.

In Peter Csaba Ölveczky and Cyrille Artho: Proceedings First International Workshop on Formal Techniques for Safety-Critical Systems (FTSCS 2012), Kyoto, Japan, November 12, 2012, Electronic Proceedings in Theoretical Computer Science 105, pp. 85–99.
Published: 29th December 2012.

ArXived at: http://dx.doi.org/10.4204/EPTCS.105.7 bibtex PDF
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