A holistic decision-making framework for integrated safety

Abstract

A Bayesian decision-theoretic decision-making framework for integrated vehicle safety systems is introduced. The framework tries to address the increasing need for introduction of optimal decision-making to integrated vehicle safety. The framework tries to capture all the interdependencies between systems in one optimisation problem by designing appropriate risk functions. This is achieved by incorporating driver behaviour model and pre-crash occupant position tracking. New software methods and tools should also be developed to efficiently accommodate this. The framework, in general, leads to higher design flexibility and scalability 1.