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 inte rdependencie s 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 l. © 2010 IEEE.