SEMar 13, 2019

Safety Analysis for Vehicle Guidance Systems with Dynamic Fault Trees

arXiv:1903.05361v154 citations
Originality Synthesis-oriented
AI Analysis

This work addresses safety analysis for vehicle guidance systems, particularly in drive automation, but is incremental as it scales up existing DFT methods.

The paper tackles the design-phase safety analysis of vehicle guidance systems by constructing dynamic fault trees (DFTs) to model safety concepts and architectures, enabling evaluation of quantitative measures through model checking, with results showing that DFTs with up to 300 elements can be evaluated in minutes.

This paper considers the design-phase safety analysis of vehicle guidance systems. The proposed approach constructs dynamic fault trees (DFTs) to model a variety of safety concepts and E/E architectures for drive automation. The fault trees can be used to evaluate various quantitative measures by means of model checking. The approach is accompanied by a large-scale evaluation: The resulting DFTs with up to 300 elements constitute larger-than-before DFTs, yet the concepts and architectures can be evaluated in a matter of minutes.

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